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d53248322 | Developing conventional natural language generation systems requires extensive attention from human experts in order to craft complex sets of sentence planning rules. We propose a Bayesian nonparametric approach to learn sentence planning rules by inducing synchronous tree substitution grammars for pairs of text plans ... | Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning |
d184483311 | In this paper, we present a system description for the SemEval-2019 Task 6 submitted by our team. For the task, our system takes tweet as an input and determine if the tweet is offensive or non-offensive (Sub-task A). In case a tweet is offensive, our system identifies if a tweet is targeted (insult or threat) or nonta... | USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings |
d18827045 | The Active Listening Corpus (ALICO) is a multimodal database of spontaneous dyadic conversations with diverse speech and gestural annotations of both dialogue partners. The annotations consist of short feedback expression transcription with corresponding communicative function interpretation as well as segmentation of ... | ALICO: A multimodal corpus for the study of active listening |
d6229041 | This paper describes Vi-xfst, a visual interface and a development environment, for developing finite state language processing applications using the Xerox Finite State Tool, xfst. Vi-xfst lets a user construct complex regular expressions via a drag-anddrop visual interface, treating simpler regular expressions as "Le... | Vi-xfst: A Visual Regular Expression Development Environment for Xerox Finite State Tool |
d16940412 | We study the problem of jointly aligning sentence constituents and predicting their similarities. While extensive sentence similarity data exists, manually generating reference alignments and labeling the similarities of the aligned chunks is comparatively onerous. This prompts the natural question of whether we can ex... | Exploiting Sentence Similarities for Better Alignments |
d16987118 | Personal writings have inspired researchers in the fields of linguistics and psychology to study the relationship between language and culture to better understand the psychology of people across different cultures. In this paper, we explore this relation by developing cross-cultural word models to identify words with ... | Identifying Cross-Cultural Differences in Word Usage |
d259833833 | Natural language processing (NLP) has shown great potential for Alzheimer's disease (AD) detection, particularly due to the adverse effect of AD on spontaneous speech. The current body of literature has directed attention toward context-based models, especially Bidirectional Encoder Representations from Transformers (B... | Who needs context? Classical techniques for Alzheimer's disease detection |
d45491946 | Pour une communauté, la terminologie est essentielle car elle permet de décrire, échanger et récupérer les données. Dans de nombreux domaines, l'explosion du volume des données textuelles nécessite de recourir à une automatisation du processus d'extraction de la terminologie, voire son enrichissement. L'extraction auto... | 21 ème Traitement Automatique des Langues Naturelles |
d44056690 | We describe the development of a prototype of an open source rule-based Icelandic→English MT system, based on the Apertium MT framework and IceNLP, a natural language processing toolkit for Icelandic. Our system, Apertium-IceNLP, is the first system in which the whole morphological and tagging component of Apertium is ... | Apertium-IceNLP: A rule-based Icelandic to English machine translation system |
d15035128 | In this paper we describe a method for developing a virtual instructor for pedestrian navigation based on real interactions between a human instructor and a human pedestrian. A virtual instructor is an agent capable of fulfilling the role of a human instructor, and its goal is to assist a pedestrian in the accomplishme... | A Natural Language Instructor for pedestrian navigation based in generation by selection |
d51884041 | We present results from a project on sentiment analysis of drama texts, more concretely the plays of Gotthold Ephraim Lessing. We conducted an annotation study to create a gold standard for a systematic evaluation. The gold standard consists of 200 speeches of Lessing's plays and was manually annotated with sentiment i... | An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing |
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d15650401 | Contrary to popular beliefs, idioms show a high degree of formal flexibility, ranging from word-like idioms to those which are like almost regular phrases. However, we argue that their meanings are not transparent, i.e. they are non-compositional, regardless of their syntactic flexibility. In this paper, firstly, we wi... | Idioms: Formally Flexible but Semantically Non-transparent |
d249204499 | We address the task of automatically distinguishing between human-translated (HT) and machine translated (MT) texts. Following recent work, we fine-tune pretrained language models (LMs) to perform this task. Our work differs in that we use state-of-the-art pre-trained LMs, as well as the test sets of the WMT news share... | Automatic Discrimination of Human and Neural Machine Translation: A Study with Multiple Pre-Trained Models and Longer Context |
d324062 | Even though historical texts reveal a lot of interesting information on culture and social structure in the past, information access is limited and in most cases the only way to find the information you are looking for is to manually go through large volumes of text, searching for interesting text segments. In this pap... | Automatic Verb Extraction from Historical Swedish Texts |
d51616502 | Briefly Noted Opinion Mining and Sentiment Analysis | |
d15230543 | Published literature in molecular genetics may collectively provide much information on gene regulation networks. Dedicated computational approaches are required to sip through large volumes of text and infer gene interactions. We propose a novel sieve-based relation extraction system that uses linear-chain conditional... | Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules |
d241583381 | We propose a personalized dialogue scenario generation system which transmits efficient and coherent information with a real-time extractive summarization method optimized by an Ising machine. The summarization problem is formulated as a quadratic unconstraint binary optimization (QUBO) problem, which extracts sentence... | Personalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios |
d4948776 | In this paper we present an iterative methodology to improve classifier performance by incorporating linguistic knowledge, and propose a way to incorporate domain rules into the learning process. We applied the methodology to the tasks of hedge cue recognition and scope detection and obtained competitive results on a p... | Improving Speculative Language Detection using Linguistic Knowledge |
d902939 | Completely data-driven grammar training is prone to over-fitting. Human-defined word class knowledge is useful to address this issue. However, the manual word class taxonomy may be unreliable and irrational for statistical natural language processing, aside from its insufficient linguistic phenomena coverage and domain... | Learning the Taxonomy of Function Words for Parsing |
d12738488 | This paper describes the input specification language of the WAG Sentence Generation system. The input is described in terms ofHalliday's (1978)three meaning components, ideational meaning (the propositional content to be expressed), interactional meaning (what the speaker intends the listener to do in making the utter... | Input Specification in the WAG Sentence Generation System |
d6605684 | The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search results (returned in response to a person name query) according to the individual they mention. In this paper we compare the coverage, reliabi... | The role of named entities in Web People Search |
d249204470 | The development of deep learning techniques has allowed Neural Machine Translation (NMT) models to become extremely powerful, given sufficient training data and training time. However, such translation models struggle when translating text of a new or unfamiliar domain(Koehn and Knowles, 2017). A domain may be a well-d... | Domain Adaptation for Neural Machine Translation |
d6552261 | Current work on automatic opinion mining has ignored opinion targets expressed by anaphorical pronouns, thereby missing a significant number of opinion targets. In this paper we empirically evaluate whether using an off-the-shelf anaphora resolution algorithm can improve the performance of a baseline opinion mining sys... | Using Anaphora Resolution to Improve Opinion Target Identification in Movie Reviews |
d220047307 | Despite the pervasiveness of clinical depression in modern society, professional help remains highly stigmatized, inaccessible, and expensive. Accurately diagnosing depression is difficult-requiring time-intensive interviews, assessments, and analysis. Hence, automated methods that can assess linguistic patterns in the... | Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts |
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d8855547 | Hebrew •includes a very productive noun-compounding construction called smixut. Because smixut is marked morphologically and is restricted by many syntactic constraints, it has been the focus of many descriptive studies in Hebrew grammar.We present the treatment of smixut in HUGG, a FUF-based syntactic realization syst... | GENERATION OF NOUN COMPOUNDS IN HEBREW: CAN SYNTACTIC KNOWLEDGE BE FULLY ENCAPSULATED? |
d36544987 | We assume that unknown words with internal structure (affixed words or compounds) can provide speakers with linguistic cues as for their meaning, and thus help their decoding and understanding. To verify this hypothesis, we propose to work with a set of French medical words. These words are annotated by five annotators... | Understanding of unknown medical words |
d18782861 | Usually unsupervised dependency parsing tries to optimize the probability of a corpus by modifying the dependency model that was presumably used to generate the corpus. In this article we explore a different view in which a dependency structure is among other things a partial order on the nodes in terms of centrality o... | From ranked words to dependency trees: two-stage unsupervised non-projective dependency parsing |
d10767908 | Just as programming is the traditional introduction to computer science, writing grammars by hand is an excellent introduction to many topics in computational linguistics. We present and justify a well-tested introductory activity in which teams of mixed background compete to write probabilistic context-free grammars o... | Competitive Grammar Writing * |
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d29077435 | Transcription of speech is an important part of language documentation, and yet speech recognition technology has not been widely harnessed to aid linguists. We explore the use of a neural network architecture with the connectionist temporal classification loss function for phonemic and tonal transcription in a languag... | Phonemic transcription of low-resource tonal languages |
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d44245205 | The IATE project was launched in early 2000 for the creation of a single central terminology database for all the institutions, agencies and other bodies of the European Union. By mid-2001, it had reached the prototype phase. It is evident that the attempt of uniting the terminology that has been created in different i... | The IATE Project -Towards a Single Terminology Database For the European Union PART ONE: CURRENT STATUS OF THE IATE PROJECT |
d2294286 | A Robust Retrieval Engine for Proximal and Structural Search | |
d2913101 | We introduce a word segmentation approach to languages where word boundaries are not orthographically marked, with application to Phrase-Based Statistical Machine Translation (PB-SMT). Instead of using manually segmented monolingual domain-specific corpora to train segmenters, we make use of bilingual corpora and stati... | Bilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation |
d18968839 | We construct a large corpus of Japanese predicate phrases for synonym-antonym relations. The corpus consists of 7,278 pairs of predicates such as "receive-permission (ACC)" vs. "obtain-permission (ACC)", in which each predicate pair is accompanied by a noun phrase and case information. The relations are categorized as ... | Constructing a Corpus of Japanese Predicate Phrases for Synonym/Antonym Relations |
d252847514 | Socially Assistive Robots (SARs) have the potential to play an increasingly important role in a variety of contexts including healthcare, but most existing systems have very limited interactive capabilities. We will demonstrate a robot receptionist that not only supports task-based and social dialogue via natural spoke... | A Visually-Aware Conversational Robot Receptionist |
d12617502 | The syntax and semantic analyses of natural language are described from the standpoint of manmachine communication. The knowledge based system KAUS(Knowledge Acquisition and Utilization System) which has capabilities of deductive inference and automatic program generation of database access is utilized for that purpose... | PROCESSING OF SYNTAX AND SEMANTICS OF NATURAL LANGUAGE BY PREDICATE LOGIC |
d257985687 | La plupart des outils d'analyse de sentiments traitent essentiellement l'arabe standard moderne (ASM), et peu d'entre eux ne prennent en considération les dialectes. À notre connaissance, aucun outil en libre accès n'est disponible concernant l'analyse de sentiments de textes écrits en dialecte algérien. Cet article pr... | Une approche fondée sur les lexiques d'analyse de sentiments du dialecte algérien |
d258765271 | Resource-efficiency is a growing concern in the NLP community. But what are the resources we care about and why? How do we measure efficiency in a way that is reliable and relevant? And how do we balance efficiency and other important concerns? Based on a review of the emerging literature on the subject, we discuss dif... | On the Concept of Resource-Efficiency in NLP |
d6271137 | The Representation of Derivable Information in Memory: When What Might Have Been Left Unsaid Is Said | |
d209058570 | Task oriented language understanding (LU) in human-to-machine (H2M) conversations has been extensively studied for personal digital assistants. In this work, we extend the task oriented LU problem to human-to-human (H2H) conversations, focusing on the slot tagging task. Recent advances on LU in H2M conversations have s... | Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-human Conversation Scenarios |
d14274174 | This first half of this general survey covers MT and translation tools in use, including translators workstations, software localisation, and recent commercial and in-house MT systems. The second half covers the research scene, multilingual projects supported by the European Union, networking and evaluation.In comparis... | THE STATE OF MACHINE TRANSLATION IN EUROPE |
d15327919 | Synthetic word analysis is a potentially important but relatively unexplored problem in Chinese natural language processing. Two issues with the conventional pipeline methods involving word segmentation are (1) the lack of a common segmentation standard and (2) the poor segmentation performance on OOV words. These issu... | Parsing Chinese Synthetic Words with a Character-based Dependency Model |
d10179143 | We argue that it is useful for a machine translation system to be able to provide the user with an estimate of the translation quality for each sentence. This makes it possible for bad translations to be filtered out before post-editing, to be highlighted by the user interface, or to cause an interactive system to ask ... | A Confidence Index for Machine Translation |
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d21723087 | For the purpose of POS tagging noisy user-generated text, should normalization be handled as a preliminary task or is it possible to handle misspelled words directly in the POS tagging model? We propose in this paper a combined approach where some errors are normalized before tagging, while a Gated Recurrent Unit deep ... | Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text |
d18508557 | This paper presents a method for acquiring synonyms from monolingual comparable text (MCT). MCT denotes a set of monolingual texts whose contents are similar and can be obtained automatically. Our acquisition method takes advantage of a characteristic of MCT that included words and their relations are confined. Our met... | Acquiring Synonyms from Monolingual Comparable Texts |
d7378347 | This demo abstract presents an interactive tool for supporting error analysis for text mining, which is situated within the Summarization Integrated Development Environment (SIDE). This freely downloadable tool was designed based on repeated experience teaching text mining over a number of years, and has been successfu... | An Interactive Tool for Supporting Error Analysis for Text Mining |
d8697151 | We report on the first structured distributional semantic model for Croatian, DM.HR. It is constructed after the model of the English Distributional Memory (Baroni and Lenci, 2010), from a dependencyparsed Croatian web corpus, and covers about 2M lemmas. We give details on the linguistic processing and the design princ... | Building and Evaluating a Distributional Memory for Croatian |
d14221574 | Conventional topic models are ineffective for topic extraction from microblog messages since the lack of structure and context among the posts renders poor message-level word co-occurrence patterns. In this work, we organize microblog posts as conversation trees based on reposting and replying relations, which enrich c... | Topic Extraction from Microblog Posts Using Conversation Structures |
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d20755967 | ([WUDFWLRQ RI 3ROLVK 1DPHG(QWLWLHV -DNXE 3LVNRUVNL | |
d11000999 | The development of the Web 2.0 led to the birth of new textual genres such as blogs, reviews or forum entries. The increasing number of such texts and the highly diverse topics they discuss make blogs a rich source for analysis. This paper presents a comparative study on open domain and opinion QA systems. A collection... | A Comparative Study of Open Domain and Opinion Question Answering Systems for Factual and Opinionated Queries |
d219690993 | One-to-one tutoring is often an effective means to help students learn, and recent experiments with neural conversation systems are promising. However, large open datasets of tutoring conversations are lacking. To remedy this, we propose a novel asynchronous method for collecting tutoring dialogue via crowdworkers that... | CIMA: A Large Open Access Dialogue Dataset for Tutoring |
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d904516 | Annotation graphs provide an efficient and expressive data model for linguistic annotations of time-series data. This paper reports progress on a complete open-source software infrastructure supporting the rapid development of tools for transcribing and annotating time-series data.This generalpurpose infrastructure use... | Annotation Tools Based on the Annotation Graph API |
d18198350 | It is generally acknowledged that collocations in the sense of idiosyncratic word cooccurrences are a challenge in the context of second language learning. Advanced miscollocation correction is thus highly desirable. However, state-of-the-art "collocation checkers" are merely able to detect a possible miscollocation an... | Classification of Lexical Collocation Errors in the Writings of Learners of Spanish |
d9987841 | We focus on the probleln of building large repositories of le.rical coJtceplual structure (LCS) representations for verbs in multiple languages. One of the main results of this work is the definition of a relat, ion between broad semantic classes and LCS meaniug components. Our acquisition program--LEXICALL--takes, as ... | Large-Scale Acquisition of LCS-Based Lexicons for Foreign Language Tutoring |
d236477518 | Chinese word segmentation (CWS) is a fundamental task for Chinese information processing, which always suffers from out-ofvocabulary word issues, especially when it is tested on data from different sources. Although one possible solution is to use more training data, in real applications, these data are stored at diffe... | Federated Chinese Word Segmentation with Global Character Associations |
d10924970 | We propose new methods to take advantage of text in resource-rich languages to sharpen statistical language models in resource-deficient languages. We achieve this through an extension of the method of lexical triggers to the cross-language problem, and by developing a likelihoodbased adaptation scheme for combining a ... | Cross-Lingual Lexical Triggers in Statistical Language Modeling |
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d18893263 | We describe a nonparametric model and corresponding inference algorithm for learning Synchronous Context Free Grammar derivations for parallel text. The model employs a Pitman-Yor Process prior which uses a novel base distribution over synchronous grammar rules. Through both synthetic grammar induction and statistical ... | A Bayesian Model for Learning SCFGs with Discontiguous Rules |
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d5739852 | DISCOURSE MODELS~ DIALOG MEMORIES~ AND USER MODELS | |
d13425358 | This paper describes TwitterHawk, a system for sentiment analysis of tweets which participated in the SemEval-2015 Task 10, Subtasks A through D. The system performed competitively, most notably placing 1 st in topicbased sentiment classification (Subtask C) and ranking 4 th out of 40 in identifying the sentiment of sa... | TwitterHawk: A Feature Bucket Approach to Sentiment Analysis |
d225062674 | Event clustering on social streams aims to cluster short texts according to event contents. Event clustering models can be divided into unsupervised learning or supervised learning at present. The unsupervised models suffer from poor performance, while the supervised models require lots of labeling data. To address the... | Semi-supervised Method to Cluster Chinese Events on Social Streams |
d5566545 | A long-standing issue regarding algorithms that manipulate context-free grammars (CFGs) in a "topdown" left-to-right fashion is that left recursion can lead to nontermination. An algorithm is known that transforms any CFG into an equivalent nonleft-recursive CFG, but the resulting grammars are often too large for pract... | Removing Left Recursion from Context-Free Grammars |
d46338569 | Cet article propose une méthode automatique d'augmentation des variations prosodiques en synthèse par sélection d'unités. Plus particulièrement, nous nous sommes intéressés à la synthèse de phrases interrogatives au sein du système de synthèse eLite, qui procède par sélection d'unités non uniformes et qui ne possède pa... | Variations prosodiques en synthèse par sélection d'unités : l'exemple des phrases interrogatives |
d8338820 | Entity Resolution is the task of identifying which records in a database refer to the same entity. A standard machine learning pipeline for the entity resolution problem consists of three major components: blocking, pairwise linkage, and clustering. The blocking step groups records by shared properties to determine whi... | Graph-based Approaches for Organization Entity Resolution in MapReduce |
d39065986 | Violeta.Seretan@unige.ch RÉSUMÉ. Identifier les collocations dans le texte source (par exemple, break record) et les traduire correctement (battre record contre *casser record) constituent un réel défi pour la traduction automatique, d'autant plus que ces expressions sont très nombreuses et très flexibles du point de v... | Extraction de collocations et leurs équivalents de traduction à partir de corpus parallèles |
d5555941 | Natural Language Processing (NLP) system developers face a number of new challenges. Interest is increasing for real-world systems that use NLP tools and techniques. The quantity of text now available for training and processing is increasing dramatically. Also, the range of languages and tasks being researched continu... | Blueprint for a High Performance NLP Infrastructure |
d2031061 | We report work 1 in progress on adding affect-detection to an existing program for virtual dramatic improvisation, monitored by a human director. To partially automate the directors' functions, we have partially implemented the detection of emotions, etc. in users' text input, by means of pattern-matching, robust parsi... | Developments in Affect Detection in E-drama |
d15744092 | Mental Space Theory(Fauconnier, 1985)encompasses a wide variety of complex linguistics phenomena that are largely ignored in today's natural language processing systems. These phenomena include conditionals (e.g. If sentences), embedded discourse, and other natural language utterances whose interpretation depends on co... | Scaling Understanding up to Mental Spaces |
d5636607 | Induction of common sense knowledge about prototypical sequence of events has recently received much attention (e.g., Chambers and Jurafsky (2008); Regneri et al.(2010)). Instead of inducing this knowledge in the form of graphs, as in much of the previous work, in our method, distributed representations of event realiz... | Inducing Neural Models of Script Knowledge |
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d9554881 | Metaphor is an important way of conveying the affect of people, hence understanding how people use metaphors to convey affect is important for the communication between individuals and increases cohesion if the perceived affect of the concrete example is the same for the two individuals. Therefore, building computation... | Multilingual Affect Polarity and Valence Prediction in Metaphor-Rich Texts |
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d30831790 | The aim of this short paper is to present the FLaReNet Thematic Network for Language Resources and Language Technologies to the Asian Language Resources Community. Creation of a wide and committed community and of a shared policy in the field of Language Resources is essential in order to foster a substantial advanceme... | The FLaReNet Thematic Network: A Global Forum for Cooperation |
d11918974 | We examine the performance of three dependency parsing systems, in particular, their performance variation across Wikipedia domains. We assess the performance variation of (i) Alpino, a deep grammar-based system coupled with a statistical disambiguation versus (ii) MST and Malt, two purely data-driven statistical depen... | Improved statistical measures to assess natural language parser performance across domains |
d2046924 | In this paper we use the Reeks Nederlandse Dialectatlassen as a source for the reconstruction of a 'proto-language' of Dutch dialects. We used 360 dialects from locations in the Netherlands, the northern part of Belgium and French-Flanders. The density of dialect locations is about the same everywhere. For each dialect... | The relative divergence of Dutch dialect pronunciations from their common source: an exploratory study |
d231642302 | It took us nearly ten years to get from no wordnet for Polish to the largest wordnet ever built. We started small but quickly learned to dream big. Now we are about to release plWordNet 3.0-emo -complete with sentiment and emotions annotatedand a domestic version of Princeton Word-Net, larger than WordNet 3.1 by nearly... | plWordNet 3.0 -Almost There |
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