Dialogue Text Research Articles

Poïétique et politique du littéraire : Annie Ernaux, une écriture « au-dessous de la littérature » ?

In Une femme (1987; A Woman's Story), Annie Ernaux declared that she wished to remain “au-dessous de la littérature” (“below literature”). To what extent is this position, which she has maintained over the last decades, compatible with her consecration as a writer? This article considers the publication of Les Années (2008; The Years) as a turning point followed by the publication of several collaborative and dialogic texts that call into question established literary forms and make visible the process of creation, that is to say the poiesis of the œuvre. By revealing the act of writing, Ernaux contributes to establishing a genealogy of her work, even showing it to have a mythical dimension which is nevertheless tied to socio-political concerns. Exploring the resonance between Ernaux's literary pieces and her paratextual interventions highlights the complex network on which Ernaux's conception of writing, and position towards the idea of literature, are built.

The Dispute between the Nestorian Patriarch Timothy I and the Caliph al-Mahdi: Versions, Manuscripts, Editions and Translations

This paper serves as an introduction to the forthcoming translation of the disagreement between Patriarch Timothy I of the Church of the East and the Abbasid Caliph al-Mahdi. It provides the historical context of the text, discusses the importance of the debate for the study of Arab-Muslim polemics, and explores its dating. Author provided additional information about Syriac and Arabic manuscript traditions and presented an updated stemma of these manuscripts containing the dialogue text. Additionally, she thoroughly reviewed editions and translations of the dispute in both Syriac and Arabic, and systematically analyzed differences between all existing versions. A general comparison is presented between the Syrian original and the nearest Arabic translation, which serve as the foundational versions of this text.

Emotion generation method in online physical education teaching based on data mining of teacher-student interactions.

Different from conventional educational paradigms, online education lacks the direct interplay between instructors and learners, particularly in the sphere of virtual physical education. Regrettably, extant research seldom directs its focus toward the intricacies of emotional arousal within the teacher-student course dynamic. The formulation of an emotion generation model exhibits constraints necessitating refinement tailored to distinct educational cohorts, disciplines, and instructional contexts. This study proffers an emotion generation model rooted in data mining of teacher-student course interactions to refine emotional discourse and enhance learning outcomes in the realm of online physical education. This model includes techniques for data preprocessing and augmentation, a multimodal dialogue text emotion recognition model, and a topic-expanding emotional dialogue generation model based on joint decoding. The encoder assimilates the input sentence into a fixed-length vector, culminating in the final state, wherein the vector produced by the context recurrent neural network is conjoined with the preceding word's vector and employed as the decoder's input. Leveraging the long-short-term memory neural network facilitates the modeling of emotional fluctuations across multiple rounds of dialogue, thus fulfilling the mandate of emotion prediction. The evaluation of the model against the DailyDialog dataset demonstrates its superiority over the conventional end-to-end model in terms of loss and confusion values. Achieving an accuracy rate of 84.4%, the model substantiates that embedding emotional cues within dialogues augments response generation. The proposed emotion generation model augments emotional discourse and learning efficacy within online physical education, offering fresh avenues for refining and advancing emotion generation models.

Improving conversational recommender systems via multi-preference modelling and knowledge-enhanced

Conversational recommender systems (CRS) aim to capture user preferences and provide high-quality recommendations through conversations. Existing CRSs use items in conversations to represent user preferences, and these items usually need to match corresponding entities in external knowledge graphs (KGs). However, current general approaches extract subgraphs from large KGs (e.g., DBpedia) and thus may contain noise from nonrelevant domains and do not cover items in the CRS domain well. In addition, existing CRSs do not focus on hidden semantic preferences in user conversations, nor do they emphasize item attributes. Moreover, the system-generated responses lack diversity and descriptiveness. To address these issues, we propose a novel approach for Improving Conversation Recommendation Systems via Multi-Preference Modelling and Knowledge-Enhanced (MPKE). Specifically, we first customize a higher-quality knowledge graph LMKG for CRS to help the model fully exploit external knowledge to improve its performance. Second, we design a semantic fusion module to augment the semantic connections between external knowledge and dialogue text. Then, we propose a two-stage recommendation mechanism to explore more item attributes and fuse entity and text semantics to enhance user representation. For response generation, we use a word-level KG (i.e., ConceptNet) to enhance the representation of conversation keywords and construct explanation templates with slots to enhance the diversity of system responses. extensive experiments show that our approach outperforms past state-of-the-art methods. the source code will be published at https://github.com/zcy-cqut/MPKE.

The Principle of Cooperation in Service Communication Conversations

This research aims to (1) describe the form of compliance and language function of the principle of cooperation in service communication conversations at the Muhammadiyah University of Malang Library, 2) describe violations and factors that influence the principle of cooperation in service communication conversations at the Muhammadiyah University of Malang Library. This type of research method is qualitative with a case study research approach. The research data is about the principles of cooperation in service communication conversations at the Muhammadiyah University of Malang Library. The data source comes from primary data sources in the form of dialogue text fragments in recorded service communication conversations that occurred between students and library staff at the University of Muhammadiyah Malang. The data collection technique was carried out using the note-taking method. Then, the data analysis technique is carried out by analyzing the data by reducing the data, presenting the data, and drawing conclusions. The results of the research analysis show (1) there are four forms of compliance with the maxims of cooperation principles, which include the maxim of quantity, the maxim of quality, the maxim of relevance, and the maxim of manner. There are two language functions found in compliance with these maxims, including assertive and directive language functions. The function of assertive language, namely stating, is found in the maxim of quantity and the maxim of quality, while the function of directive language, namely commanding, is found in the maxim of relevance and the maxim of manner, (2) there are two forms of violation of the maxim of the principle of cooperation which include the maxim of quantity and the maxim of relevance. There are also factors that influence the occurrence of violations of these maxims. Violations that occur in the maxim of quantity are influenced by situational factors and conditions that are being experienced. Meanwhile, violations of the maxim of relevance are influenced by the lack of known information.

Characteristics of complete and semi-sentences in dialogue texts

Characteristics of complete and semi-sentences in dialogue texts

Features of linguistic expertise of texts of dialogues on anti-corruption cases

The object of the study is dialogue texts with signs of corrupt speech behavior. The subject of the study are marker words, linguistic methods that reveal linguistic signs of a discourse that has a meaningful and semantic focus on receiving or transferring values for the actions of the recipient (inaction), in favor of the giver. The purpose of this work was to conduct a communicative analysis of corrupt speech behavior in the text–dialogue: to accept illegal remuneration for actions (inaction) in the service in order to obtain valuables in the event of an agreement between the specified persons.The main task of the linguistic and forensic examination of anti-corruption cases is to establish the event by its speech representation: it is required to prove that the dialogue is about the transfer of funds. To solve this issue, it is necessary to conduct a communicative analysis of the text-dialogue. The research methodology is related to the communicative analysis of texts-dialogues with signs of corruption content, based on the works of D.L. Karpov, "on the theoretical and practical works of A. N. Baranov, K. I. Brinev, E. N. Galyashina, M. A. Grachev, I. A. Sternin, etc., devoted to cases related to corruption. The scientific novelty of the work lies in the use of a communicative approach within the framework of text-dialogue analysis, logical-semantic and functional-stylistic analysis. The analysis of the expert study of the text-dialogue on anti-corruption cases is presented, the conceptual framework is developed. As a result of the study, it was concluded that the main task of linguistic expertise in anti-corruption cases is to establish an event by its speech representation through the use of a set of semantic and pragmatic techniques of discursive analysis, which allows us to clarify the signs of conversational dialogue that are significant for the legal qualification of speech crimes. When conducting a communicative analysis of a corrupt text, it is important to identify signs of corrupt speech behavior. When analyzing a communicative corruption situation, it is necessary to consider the speech strategies and tactics of the participants in the dialogue, which ultimately allow us to determine the true intentions of the communicants aimed at achieving a communicative goal.

Currículos e alfabetização: entre códigos, desvios e experimentação

ABSTRACT This text is an invitation to join a cartography held during a master’s degree research problematizing the macro policies of curriculum centralization and education regulation, which aim to standardize curricular movements in everyday school life. In the relationship between macro/micro policies, the text presents the statements of teachers and children in conversation networks about the curricular experiences produced amidst the hard lines of literacy policies. These flexible and escaping lines cross the school daily life, in movements that agency life processes, an open and susceptible map to question the effects that literacy, curricula, school and learning concepts can produce in educational processes. The text dialogues with Deleuze and Guattari to think education from an invention perspective and argue that, within the fissures of macro politics, it is possible to create curricular movements intertwined with art signs through experimentation as resistance to reproduction attempts. It concludes (always open to new experiments) that, in everyday school life, between forms and forces, there are life-affirming collective curricular movements in an exercise of thought that opens up to the new, the unthinkable, splitting postulates and inventing other ways of existing, with art.

AIGC Enabling Non-Genetic Design Methods and Practices

Abstract Artificial Intelligence Generated Content (AIGC) technology aligns seamlessly with the design requirements of non-genetic heritage, offering a viable pathway for its modernization. This paper delineates the specific design needs of non-genetic heritage and utilizes a diffusion model to create themed images and animations related to this heritage. Additionally, AIGC is employed to enhance the creation of virtual reality interactive imagery. The Long Short-Term Memory (LSTM) network is deployed to classify time-series gesture data, facilitating the training and categorization of Chinese Sign Language (CSL) gestures for virtual interactive engagement with non-heritage themes. We have integrated the AIGC operation process into the theme of non-genetic inheritance, thereby constructing a robust development trajectory for AIGC-enhanced non-genetic heritage. The experimental setup is crafted to ascertain the optimal number of iterations and training durations through the control variable method. We evaluate the efficacy of the diffusion model for anti-implicit writing analysis and the performance of the speech recognition, text dialogue, and text response modules within the non-heritage multimodal interactive framework using Word Error Rate (WER) and Mean Opinion Score (MOS). A descriptive analysis of users’ interactive experiences with non-heritage content is also conducted. The results indicate that the speech recognition module achieved a WER of 0.365, while the text response module garnered an MOS of 4.49 with a standard deviation of 0.56. This multimodal, non-heritage virtual interaction, leveraging multiple modalities, enriches users’ experiences and deepens their understanding and appreciation of non-heritage content. Consequently, this enhances the high-quality development of non-genetic heritage.

ДІАЛОГИ ФЕОФАНА ПРОКОПОВИЧА: ОСОБЛИВОСТІ ІДЕЙНО-ТЕМАТИЧНОГО СПРЯМУВАННЯ

Background. The article explores the specific features of the thematic spectrum in Feophan Prokopovych's dialogues, specifically "The Conversation of Tekton, or Tesla, with a Merchant" and "The Conversation of a Townsman with a Peasant and a Sexton". The actuality of this study lies in the fact that the texts of these dialogues serve as an additional and important source for studying the writer's artistic worldview and the specifics of his poetic work. The poetics of these dialogues represent the realization of classical principles in the works, synthesizing stylistic features of Antiquity, Baroque, and Enlightenment. The thematic spectrum of the works reflects the author's understanding of God, the role of education and knowledge in the life of individuals and society. The objective of the study is to analyze features of the thematic spectrum in F. Prokopovych's dialogues. Tasks involve identifying specific characteristics of author's dialogues and analyzing their realization in terms of thematic, genre, and stylistic aspects. Methods. The writer's dialogues are analyzed using historical-philological, hermeneutic, and comparative research methods. Results. In the dialogue "The Conversation of a Townsman with a Peasant and a Deaco", Feofan Prokopovych presents an artistic interpretation of religious and philosophical issues. The author focuses on the specificity of interpreting the phenomenon of simplicity, expressing his attitude toward it as a particular cultural concept. The work tends toward the sermon genre. An artistic idea of knowledge as a secular phenomenon important for further social progress is presented. The character of the Townsman embodies the idea of education and knowledge as acquisitions that are not innate but achieved through the efforts. Prokopovych advocates the thesis of the necessity of accessible and popularized education among broad segments of society. Conclusions. the thematic spectrum of F. Prokopovych's dialogues is focused on presenting the artistic interpretation of issues related to religion, the church, and education. In these dialogues, a particular societal stance of the writer is interpreted. The dialogue texts remain a prospective material for further scholarly studies. It is necessary to explore the dialogues from the perspective of the author's evolution of worldview and creative work.

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study.

Artificial intelligence models tailored to diagnose cognitive impairment have shown excellent results. However, it is unclear whether large linguistic models can rival specialized models by text alone. In this study, we explored the performance of ChatGPT for primary screening of mild cognitive impairment (MCI) and standardized the design steps and components of the prompts. We gathered a total of 174 participants from the DementiaBank screening and classified 70% of them into the training set and 30% of them into the test set. Only text dialogues were kept. Sentences were cleaned using a macro code, followed by a manual check. The prompt consisted of 5 main parts, including character setting, scoring system setting, indicator setting, output setting, and explanatory information setting. Three dimensions of variables from published studies were included: vocabulary (ie, word frequency and word ratio, phrase frequency and phrase ratio, and lexical complexity), syntax and grammar (ie, syntactic complexity and grammatical components), and semantics (ie, semantic density and semantic coherence). We used R 4.3.0. for the analysis of variables and diagnostic indicators. Three additional indicators related to the severity of MCI were incorporated into the final prompt for the model. These indicators were effective in discriminating between MCI and cognitively normal participants: tip-of-the-tongue phenomenon (P<.001), difficulty with complex ideas (P<.001), and memory issues (P<.001). The final GPT-4 model achieved a sensitivity of 0.8636, a specificity of 0.9487, and an area under the curve of 0.9062 on the training set; on the test set, the sensitivity, specificity, and area under the curve reached 0.7727, 0.8333, and 0.8030, respectively. ChatGPT was effective in the primary screening of participants with possible MCI. Improved standardization of prompts by clinicians would also improve the performance of the model. It is important to note that ChatGPT is not a substitute for a clinician making a diagnosis.

Pragmatic architectonics of the literary dialogue: absurdity as the form and content of protagonists’ speech

The article is devoted to the pragmatic analysis of the dialogical texts in the novel “Catch-22” by J. Heller forming the intersection of the absurdist literature representatives’ theoretical views on the surface structure and semantic content of characters’ interpersonal relationships. The research is aimed at identifying the specificity of meaning generation as a mechanism of the author’s poetics of the absurd. In particular, this poetics is systematically reflected in the mechanical verbatim reproduction of a verbal stimulus by a reacting character. Applying a comparison analysis with the relevant contexts from S. Beckett’s absurdist play “Endgame”, in which the opposite trend is observed, it is established that there is a complete reduction of meaning in an effort to focus readers’ attention on the problematic nature of genuine effective communication in the modern world. It is revealed that in the context of J. Heller’s novel and S. Beckett’s play the pragmatic diversity of repetition as a means of constructing characters’ dialogical communication is associated with the contrasting interpretation of philosophical ideas of existentialism. For J. Heller repetition is an epistemological category reflecting the character’s dominant cognitions in the process of orientation in the hostile universe. The author’s implications such as the character’s subconscious fear, his permanent existential anxiety about the need to survive in an extreme situation, increased suspicion or dispassionate indifference towards the interlocutor, the protagonist’s ironic reaction to incompetence, irrationality of the actions of representatives of the authorities and auxiliary units of the flight garrison are revealed. Repetition in the characters’ speech is also associated with the desire to maintain the phatic contact with the interlocutor, whose state of affairs borders on mortal danger. The main character’ dialogical activity as an antihero is considered. It is concluded that in the novel “Catch-22” J. Heller subverts the absurdist literature basic principles, implemented through the reproduction of the characters’ dialogical speech. The author of the novel focuses readers’ attention on the relevance of preserving the traditional postulates of dialogical communication, and on the creative power of language structures and models in interpersonal interaction.

Is ChatGPT accurate and reliable in answering questions regarding head and neck cancer?

Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI)-based language processing model using deep learning to create human-like text dialogue. It has been a popular source of information covering vast number of topics including medicine. Patient education in head and neck cancer (HNC) is crucial to enhance the understanding of patients about their medical condition, diagnosis, and treatment options. Therefore, this study aims to examine the accuracy and reliability of ChatGPT in answering questions regarding HNC. 154 head and neck cancer-related questions were compiled from sources including professional societies, institutions, patient support groups, and social media. These questions were categorized into topics like basic knowledge, diagnosis, treatment, recovery, operative risks, complications, follow-up, and cancer prevention. ChatGPT was queried with each question, and two experienced head and neck surgeons assessed each response independently for accuracy and reproducibility. Responses were rated on a scale: (1) comprehensive/correct, (2) incomplete/partially correct, (3) a mix of accurate and inaccurate/misleading, and (4) completely inaccurate/irrelevant. Discrepancies in grading were resolved by a third reviewer. Reproducibility was evaluated by repeating questions and analyzing grading consistency. ChatGPT yielded "comprehensive/correct" responses to 133/154 (86.4%) of the questions whereas, rates of "incomplete/partially correct" and "mixed with accurate and inaccurate data/misleading" responses were 11% and 2.6%, respectively. There were no "completely inaccurate/irrelevant" responses. According to category, the model provided "comprehensive/correct" answers to 80.6% of questions regarding "basic knowledge", 92.6% related to "diagnosis", 88.9% related to "treatment", 80% related to "recovery - operative risks - complications - follow-up", 100% related to "cancer prevention" and 92.9% related to "other". There was not any significant difference between the categories regarding the grades of ChatGPT responses (p=0.88). The rate of reproducibility was 94.1% (145 of 154 questions). ChatGPT generated substantially accurate and reproducible information to diverse medical queries related to HNC. Despite its limitations, it can be a useful source of information for both patients and medical professionals. With further developments in the model, ChatGPT can also play a crucial role in clinical decision support to provide the clinicians with up-to-date information.

Tindak Tutur Direktif Pada Film Gundala Karya Joko Anwar

The study which is based on the instructive statement in the film "Gundala" by Joko Anwar seems to focus on the analysis of directive speech acts. Tells the journey of an orphan named Sancaka who later becomes a superhero. In the analysis of directive speech acts, imi studies explain the form and function of these speech acts in the context of the film. Qualitative descriptive research method. The data collection technique used is free and interesting listening, which may refer to observation and analysis of dialogue texts in films. The results of this study seem to have identified forms of directive speech acts that exist in the film "Gundala," including ordering, advising, requesting, inviting, criticizing, and prohibiting. Apart from that, this study also tries to explain the various functions of directive speech acts, such as commands, requests, forcing, advice, suggestions, prohibitions, blocking, inviting, requesting, and reprimanding.

The use and perception of question tags in Trinidadian English

Abstract This study presents an analysis of the use and perception of variant question tags and the seven invariant forms eh, ent, nah, OK, not so, right, and you know in Trinidadian English. The analysis of use is based on four dialogue text types from the Trinidad and Tobago component of the International Corpus of English and takes a variationist approach. The analysis of the perception is based on a survey that combines a multiple-choice test, where participants were presented with different dialogue scenarios and had to select the form they found most appropriate, and an indirect language attitude test, in which participants rated the use of the eight question tags on attitudinal scales and added open comments. The usage and perception profiles of the eight forms largely overlap but there are marked differences for individual forms.

TRADITIONS OF THE FRENCH THEATER OF ABSURD IN VICTOR SOLODCHUK’S PLAY “WHERE WE WERE EIGHT YEARS”

The article analyzes Solodchuk’s play «Where We Were Eight Years,» which was included in the electronic version of Anthology-24, published this year. The play is analyzed from the perspective of the French theater of the absurd, through the identification of common features in the play and in the plays written by S. Beckett and Ionesco, namely: a similar worldview, which is influenced by specific historical events, loss of the meaning of life, life without purpose and faith. The kaleidoscopic form of narrative organization, the absurdity and paradox of events, and the grotesque characters whose dialogues are reduced to a limited monologue, they do not understand each other. The form and style of the antidrama are subordinated to the effect of the evidence itself — the grotesque, the farce, brought to the point of excess, which reveals the monotony and meaninglessness of life. The desire to comprehend the universals of existence, the recurring patterns in human life are introduced into the text through the genre of parable, myth, symbol, and metaphor. The word loses its logical and grammatical connections, becomes grotesque, which leads to the loss of its meaning. The absurdist principle is also realized at the level of the figurative system of Solodchuk’s play, where the character appears as a multi-voiced entity. In the texts of the representatives of the theater of the absurd, attention is focused on material objects that replace the Other, so the role of things, objects, scenery increases, and to some extent they replace the object of communication for the characters. In Solodchuk’s play, the object is the Backpack, which is empowered with extraordinary abilities to take away aggression from the outside world. The open ending overcomes, even denies, the technique of ’exhaustiveness’ of dialogue in absurdist texts and appeals to the conceptual creation of the future.

高等教育领域中ChatGPT的应用风险及其应对研究

ChatGPT technology, based on deep learning and natural language processing, excels in generating fluid, coherent, and meaningful text dialogues. Its integration into higher education has ushered in transformative changes with positive impacts. The widespread adoption of ChatGPT in education empowers college students to pursue autonomous learning, while at the teaching level, it enables collaborative human-machine interactions, potentially creating exceptional educators. Additionally, ChatGPT enhances teaching management and evaluation, significantly boosting their efficiency. However, its application also introduces inherent risks, including challenges in ensuring the legality of its data sources, potential student information leaks, risks of academic misconduct due to ChatGPT misuse, and the potential diminishment of the teacher's role through excessive interaction. This article offers response suggestions to address these concerns: firstly, ensuring the legality of ChatGPT data sources in compliance with the law; secondly, establishing legal frameworks to define ChatGPT product copyrights; thirdly, fostering a balanced and ethical human-computer interaction; fourthly, reinforcing ethical standards governing ChatGPT's integration into higher education.

Conversational Context-sensitive Ad Generation with a Few Core-Queries

When people are talking together in front of digital signage, advertisements that are aware of the context of the dialogue will work the most effectively. However, it has been challenging for computer systems to retrieve the appropriate advertisement from among the many options presented in large databases. Our proposed system, the Conversational Context-sensitive Advertisement generator (CoCoA), is the first attempt to apply masked word prediction to web information retrieval that takes into account the dialogue context. The novelty of CoCoA is that advertisers simply need to prepare a few abstract phrases, called Core-Queries, and then CoCoA automatically generates a context-sensitive expression as a complete search query by utilizing a masked word prediction technique that adds a word related to the dialogue context to one of the prepared Core-Queries. This automatic generation frees the advertisers from having to come up with context-sensitive phrases to attract users’ attention. Another unique point is that the modified Core-Query offers users speaking in front of the CoCoA system a list of context-sensitive advertisements. CoCoA was evaluated by crowd workers regarding the context-sensitivity of the generated search queries against the dialogue text of multiple domains prepared in advance. The results indicated that CoCoA could present more contextual and practical advertisements than other web-retrieval systems. Moreover, CoCoA acquired a higher evaluation in a particular conversation that included many travel topics to which the Core-Queries were designated, implying that it succeeded in adapting the Core-Queries for the specific ongoing context better than the compared method without any effort on the part of the advertisers. In addition, case studies with users and advertisers revealed that the context-sensitive advertisements generated by CoCoA also had an effect on the content of the ongoing dialogue. Specifically, since pairs unfamiliar with each other more frequently referred to the advertisement CoCoA displayed, the advertisements had an effect on the topics about which the pairs spoke. Moreover, participants of an advertiser role recognized that some of the search queries generated by CoCoA fit the context of a conversation and that CoCoA improved the effect of the advertisement. In particular, they learned how to design of designing a good Core-Query at ease by observing the users’ response to the advertisements retrieved with the generated search queries.

“Analisis Wacana Pesan Dakwah Dalam Film I-Tanggang: Mother Of All Lies”

The film I-Tanggang: Mother of Lies tells the story of a disobedient child and a mother who lies, causing extreme conflict in 3 family stories that are told and have 12 episodes. It is important to explain that da'wah messages can be conveyed through various media, one of which is film media, so that when watching a film you don't just enjoy the storyline. But, also da'wah messages which are of course very useful. Thus, the researcher wants to review and describe the preaching message contained in the film I-Tanggang: Mother of All Lies. The problems to be uncovered in this study are: the macro discourse structure, the superstructure and the micro structure of the dakwah messages contained in the dialogue texts of the film characters I-Tanggang: Mother of Lies in the story of the character Syafiq. The type of research that the researchers used was a qualitative approach, collecting data through text observation and documentation, while the data analysis technique used was media text analysis using the Teun A. Van Dijk discourse analysis model. Based on the results of the research that the writer did, in the film I-Tanggang: Mother of All Lies, which tells the story of one of the main characters, namely the character Syafiq, there is a da'wah message about faith. (about reciting basmallah and surrendering to Allah SWT.), about sharia (punishment for those who commit adultery and the wife's obedience to her husband), and morals (about hard work and responsibility). The general theme in the film I-Tanggang: Mother Of All Lies is about a syndrome where sufferers always lie and manipulate circumstances, about the important role of parents in educating children, and how a teenager's patience in facing difficulties. life and the twists and turns of problems that he shouldn't have experienced, with mixed storylines (forward and backward plots).

HAIN: Multilabel Classification With Hierarchical Attention-Based Interaction Network for Multiturn Dialogue Texts

Multi-turn dialogue systems with cognitive capabilities have been popularly used in many applications and generate a large volume of dialogue texts. The dialogue texts of many dialogue systems contain multiple labels, and a typical case is that the customer requirements or complaints in an online multi-turn dialogue service system often need to be classified into multiple categories or forwarded to multiple departments, that is, multi-label classification on multi-turn dialogue texts. Traditional methods treat the dialogue text as the plain text, which makes it difficult for classifiers to learn important features. On the other hand, regarding each utterance as the basic semantic unit may destroy the semantic information integrity of the dialogue. Furthermore, the above methods all ignore the relationship between labels. To address above issues, we propose to use the utterance pair as the basic semantic unit and design a novel multi-label classification model for multi-turn dialogue texts in this paper. Specifically, we propose to use multi-head attention mechanism to learn the key features of multiple labels and design a new method to learn the correlation among labels. Besides, we propose to use penalty term to allow multi-head attention to focus on different semantics. Finally, we conduct sufficient experiments on four real-world multi-turn dialogue datasets and the experimental results show that our model produces superior performance.