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d18573065 | There are two primary approaches to the use bilingual dictionary in statistical machine translation: (i) the passive approach of appending the parallel training data with a bilingual dictionary and (ii) the pervasive approach of enforcing translation as per the dictionary entries when decoding. Previous studies have sh... | Passive and Pervasive Use of a Bilingual Dictionary in Statistical Machine Translation |
d10492906 | 1 | Software Re-Use and Evolution in Text Generation Applications $ |
d14554263 | We explore some of the practicalities of using random walk inference methods, such as the Path Ranking Algorithm (PRA), for the task of knowledge base completion. We show that the random walk probabilities computed (at great expense) by PRA provide no discernible benefit to performance on this task, so they can safely ... | Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction |
d16303338 | Multimodal semantic models attempt to ground distributional semantics through the integration of visual or perceptual information. Feature norms provide useful insight into human concept acquisition, but cannot be used to ground large-scale semantics because they are expensive to produce. We present an automatic method... | From distributional semantics to feature norms: grounding semantic models in human perceptual data |
d35867886 | In a recent survey (Drewes, 2017) of results on DAG automata some open problems are formulated for the case where the DAG language accepted by a DAG automaton A is restricted to DAGs with a single root, denoted by L(A) u . Here we consider each of those problems, demonstrating that: (i) the finiteness of L(A) u is deci... | Single-Rooted DAGs in Regular DAG Languages: Parikh Image and Path Languages |
d8691885 | We describe our experiments using the DeSR parser in the multilingual and domain adaptation tracks of the CoNLL 2007 shared task. DeSR implements an incremental deterministic Shift/Reduce parsing algorithm, using specific rules to handle non-projective dependencies. For the multilingual track we adopted a second order ... | Multilingual Dependency Parsing and Domain Adaptation using DeSR |
d14040767 | We describe the submission from the Columbia Arabic & Dialect Modeling group (CADIM) for the Shared Task at the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL'2013). We participate in the Arabic Dependency parsing task for predicted POS tags and features. Our system is based onMarton et... | SPMRL'13 Shared Task System: The CADIM Arabic Dependency Parser |
d10627100 | The qusstlun of how people resolve pronouns has the various factors combine. | SEARCH AND INFERENCE STRATEGIES IN PRONOUN RESOLUTION : AN E~ERIMENTAL STUDY |
d9450979 | The central mechanism of a dialogue system must be a planner(Allen et al., 1994;Smith et al., 1995;Young et al., 1989) that seeks the dialogue goal and organizes all behaviors for that purpose. Our project uses a hybrid Prolog-like planner(Smith and Hipp, 1994)which first attempts to prove the top-most goal and then in... | Speech-Graphics Dialogue Systems 1 A Theory of Dialogue |
d6227545 | Infant-directed speech (IDS) is thought to play a key role in determining infant language acquisition. It is thus important to describe how computational models of infant language acquisition behave when given an input of IDS, as compared to adult-directed speech (ADS). In this paper, we explore how an acoustic motif d... | Motif discovery in infant-and adult-directed speech |
d51869098 | This paper describes the creation and annotation of a dataset consisting of 250 English and Spanish app store reviews from Google's Play Store with Appraisal features. This is one of the most influential linguistic frameworks for the analysis of evaluation and opinion in discourse due to its insightful descriptive feat... | Building an annotated dataset of app store reviews with Appraisal features in English and Spanish |
d6020305 | We develop a Data-Oriented Parsing (DOP) model based on the syntactic representations of Lexical-Functional Grammar (LFG). We start by summarizing the original DOP model for tree representations and then show how it can be extended with corresponding functional structures. The resulting LFG-DOP model triggers a new, co... | A Probabilistic Corpus-Driven Model for Lexical-Functional Analysis |
d18679099 | In Japanese, syntactic structure of a sentence is generally represented by the relationship between phrasal units, or bunsetsus in Japanese, based on a dependency grammar. In the same way, the syntactic structure of a sentence in a large, spontaneous, Japanese-speech corpus, the Corpus of Spontaneous Japanese (CSJ), is... | Dependency-structure Annotation to Corpus of Spontaneous Japanese |
d1393767 | Parsing of ill-formed input may be an important issue in the design of robust natural language systems, as pointed out by Eastman and McLean 1981. The unpredictable range of user input in natural language requires a mechanism to deal with unacceptable syntactic constructs. However, human behavior is complicated, and th... | Questioning the Need for Parsing Ill-formed Inputs |
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d259376788 | In our article, we present the systems developed for SemEval-2023 Task 3, which aimed to evaluate the ability of Natural Language Processing (NLP) systems to detect genres and persuasion techniques in multiple languages. We experimented with several data augmentation techniques, including machine translation (MT) and t... | DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation |
d54618348 | This introduction to the special issue of the TAL journal on distributional semantics provides an overview of the current topics of this field and gives a brief summary of the contributions.RÉSUMÉ. Cette introduction au numéro spécial de la revue TAL consacré à la sémantique distributionnelle propose un panorama des th... | Distributional Semantics Today Introduction to the special issue |
d2560274 | We present an ad hoc concept modeling approach using distributional semantic models to identify fine-grained entities and their relations in an online search setting. Concepts are generated from user-defined seed terms, distributional evidence, and a relational model over concept distributions. A dimensional indexing m... | Distributional Semantic Concept Models for Entity Relation Discovery |
d5199533 | The aim of this paper is to perform Word Sense induction (WSI); which clusters web search results and produces a diversified list of search results. It describes the WSI system developed for Task 11 of SemEval -2013. This paper implements the idea of monotone submodular function optimization using greedy algorithm. | SATTY : Word Sense Induction Application in Web Search Clustering * |
d10524556 | This paper presents a novel information system integrating advanced information extraction technology and automatic hyper-linking. Extracted entities are mapped into a domain ontology that relates concepts to a selection of hyperlinks. For information extraction, we use SProUT, a generic platform for the development an... | Integrating Information Extraction and Automatic Hyperlinking |
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d777346 | The granularity of word senses in current general purpose sense inventories is often too fine-grained, with narrow sense distinctions that are irrelevant for many NLP applications. This has particularly been a problem with WordNet which is widely used for word sense disambiguation (WSD). There have been several attempt... | Relating WordNet Senses for Word Sense Disambiguation |
d10998513 | This paper describes a self-learning software agent who collects and learns knowledge from the web and also exchanges her knowledge via dialogues with the users. The agent is built on top of information extraction, web mining, question answering and dialogue system technologies, and users can freely formulate their que... | GOSSIP GALORE A Self-Learning Agent for Exchanging Pop Trivia |
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d15784619 | This paper reports on the ongoing work focused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused web crawling. We present a strategy for crawling monolingual and parallel data and their exploitation for testing, language modelling, and system tuning in a phras... | Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation |
d116886370 | The MOLTO project aims to provide technology which can simultaneously tackle issues arising from real-time machine translation of web documents: localization to several languages, maintenance of their consistency in spite of asynchronous collaborative authoring with frequent edits, and grammatically and stylistically f... | MOLTO Enlarged EU -Multilingual On-Line Translation EU List of partners |
d252819451 | Behavioural consistency is a critical condition for a language model (LM) to become trustworthy like humans. Despite its importance, however, there is little consensus on the definition of LM consistency, resulting in different definitions across many studies. In this paper, we first propose the idea of LM consistency ... | BECEL: Benchmark for Consistency Evaluation of Language Models |
d808493 | Machine Translation has evolved tremendously in the recent time and stood as center of research interest for many computer scientists. Developing a Machine Translation system for ancient languages is much more fascinating and challenging task. A detailed study of Sanskrit language reveals that its well-structured and f... | Vaakkriti: Sanskrit Tokenizer |
d7777617 | We present a model which integrates dependency parsing with reinforcement learning based on Markov decision process. At each time step, a transition is picked up to construct the dependency tree in terms of the long-run reward. The optimal policy for choosing transitions can be found with the SARSA algorithm. In SARSA,... | Dependency Parsing with Energy-based Reinforcement Learning |
d17835134 | This paper outlines a new architecture for a NLP/MT development environment for the EUROTRA project, which will be fully operational in the 1993-94 time frame. The proposed architecture provides a powerful and flexible platform for extensions and enhancements to the existing EUROTRA translation philosophy and the lingu... | An Architecture Sketch of EUROTRA-II |
d225047381 | Identification of the purpose and influence of citation is significant in assessing the impact of a publication. '3C' Citation Context Classification Task in Workshop on Mining Scientific Publication is a shared task to address the aforementioned problems. This working note describes the submissions of Amrita CEN NLP t... | Amrita CEN NLP @ WOSP 3C Citation Context Classification Task |
d17396020 | As a practical information guidance system, we have been developing a speech-oriented system named "Takemaru-kun". The system has been operated on a public space since Nov. 2002. The system answers to user's question about the hall facilities, sightseeing, transportation, weather information around the city, etc. All t... | Long-term Analysis of Prosodic Features of Spoken Guidance System User Speech |
d218974096 | This paper describes a new morphology resource created by Linguistic Data Consortium and the University of Pennsylvania for the DARPA LORELEI Program. The data consists of approximately 2000 tokens annotated for morphological segmentation in each of 9 low resource languages, along with root information for 7 of the lan... | Morphological Segmentation for Low Resource Languages |
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d8150087 | In this paper, I show that a problem of learning a morphological paradigm is similar to a problem of learning a partition of the space of Boolean functions. I describe several learners that solve this problem in different ways, and compare their basic properties. | Comparing learners for Boolean partitions: implications for morphological paradigms * |
d10837599 | Implicit Adjuncts The Cases of Degree Modifiers in Japanese and English | |
d195063973 | This paper deals with semantic enrichment of textual resources by means of automatically generated named entity recognizerslinkers and advanced indexing and searching mechanisms that can be integrated into various information retrieval and information extraction systems. It introduces a new system transforming Wikipedi... | Semantic Enrichment Across Language: A Case Study of Czech Bibliographic Databases |
d7532092 | ÓÖÖ Ø Ò Ø ÓÖÝ ÖÖÓÖ× Ò Ì ÜØ Ð ×× ¬ Ø ÓÒ ÙÑ ÝÓ Ù ÙÑÓØÓ | |
d236948957 | Competency questions (CQs) are used in ontology development to demarcate the scope, provide insights into their content, and verification. Their use has been impeded by problems with authoring good CQs. This may be assisted by a controlled natural language (CNL), but its development is time-consuming when carried out m... | Assessing and Enhancing Bottom-up CNL Design for Competency Questions for Ontologies |
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d261431361 | Student mobility reflects academic transfer from one postsecondary institution to another and facilitates students' educational goals of obtaining multiple credentials and/or advanced training in their field. This process often relies on transfer credit assessment, based on the similarity between learning outcomes, to ... | Facilitating learning outcome assessment-development of new datasets and analysis of pre-trained language models |
d2624114 | This paper focuses on mining the hyponymy (or is-a) relation from large-scale, open-domain web documents. A nonlinear probabilistic model is exploited to model the correlation between sentences in the aggregation of pattern matching results. Based on the model, we design a set of evidence combination and propagation al... | Nonlinear Evidence Fusion and Propagation for Hyponymy Relation Mining |
d261494442 | In the context of an epidemiological study involving multilingual social media, this paper reports on the ability of machine translation systems to preserve content relevant for a document classification task designed to determine whether the social media text is related to covid-19. The results indicate that machine t... | Using MT for multilingual covid-19 case load prediction from social media texts |
d261494454 | This case study presents a Multilingual ecommerce Project, which principal aim is to create an improved system that translates product titles and descriptions, plus other content in multiple languages. The project consisted of two main phases; a research-intensive solution using state-ofthe-art Machine Translation syst... | Improving Machine Translation in the E-commerce Luxury Space. A case study |
d52206963 | Argumentation is arguably one of the central features of scientific language. We present ArguminSci, an easy-to-use tool that analyzes argumentation and other rhetorical aspects of scientific writing, which we collectively dub scitorics. The main aspect we focus on is the fine-grained argumentative analysis of scientif... | ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing |
d28214 | In this paper, a layer-based projective dependency parsing approach is presented. This novel approach works layer by layer from the bottom up. Inside the layer the dependency graphs are searched exhaustively while between the layers the parser state transfers deterministically. Taking the dependency layer as the parsin... | Layer-Based Dependency Parsing* |
d9383768 | This paper presents a methodology to exploit the potential of Arabic Wikipedia to assist in the automatic development of a large Fine-grained Named Entity (NE) corpus and gazetteer. The corner stone of this approach is efficient classification of Wikipedia articles to target NE classes. The resources developed were tho... | Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia |
d5782867 | Human categorization is neither a binary nor a context-free process. Rather, some concepts are better examples of a category than others, while the criteria for category membership may be satisfied to different degrees by different concepts in different contexts. In light of these empirical facts, WordNet's static cate... | Making Lexical Ontologies Functional and Context-Sensitive |
d256461226 | Gender bias may emerge from an unequal representation of agency and power, for example, by portraying women frequently as passive and powerless ("She accepted her future") and men as proactive and powerful ("He chose his future"). When language models learn from respective texts, they may reproduce or even amplify the ... | |
d256461252 | Existing sentiment analysis models have achieved great advances with the help of sufficient sentiment annotations. Unfortunately, many languages do not have sufficient sentiment corpus. To this end, recent studies have proposed cross-lingual sentiment analysis to transfer sentiment analysis models from resource-rich la... | Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis |
d4285176 | In this paper we describe our machine learning approach to the generation of referring expressions. As our algorithm we use memory-based learning. Our results show that in case of predicting the TYPE of the expression, having one general classifier gives the best results. On the contrary, when predicting the full set o... | CNTS: Memory-Based Learning of Generating Repeated References |
d28059334 | Searchingonline information is increasingly a daily activity for many people. The multilinguality of online content is also increasing (e.g. the proportion of English web users, which has been decreasing as a fraction the increasing population of web users, dipped below 50% in the summer of 2001). To improve the abilit... | TIPS: A Translingual Information Processing System |
d8701528 | This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are "full" parsing models in the sense that probabilities are defined for complete parses, rather than for independent events derived by decomposing the parse tree. Discriminative training is used... | Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models |
d229365767 | Even though sentence-centric metrics are used widely in machine translation evaluation, document-level performance is at least equally important for professional usage. In this paper, we bring attention to detailed document-level evaluation focused on markables (expressions bearing most of the document meaning) and the... | WMT20 Document-Level Markable Error Exploration |
d14225429 | We present a method to estimate the quality of automatic translations when reference translations are not available. Quality estimation is addressed as a two-step regression problem where multiple features are combined to predict a quality score. Given a set of features, we aim at automatically extracting the variables... | Empirical Study of a Two-Step Approach to Estimate Translation Quality |
d13002266 | This paper presents a novel deterministic algorithm for implicit Semantic Role Labeling. The system exploits a very simple but relevant discursive property, the argument coherence over different instances of a predicate. The algorithm solves the implicit arguments sequentially, exploiting not only explicit but also the... | ImpAr: A Deterministic Algorithm for Implicit Semantic Role Labelling |
d17338596 | Recent work has established the efficacy of Amazon's Mechanical Turk for constructing parallel corpora for machine translation research. We apply this to building a collection of parallel corpora between English and six languages from the Indian subcontinent: Bengali, Hindi, Malayalam, Tamil, Telugu, and Urdu. These la... | Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing |
d2817582 | We present an online system that provides a complete web-based sandbox for creating, testing and publishing embodied conversational agents. The tool, called Roundtable, empowers many different types of authors and varying team sizes to create flexible interactions by automating many editing workflows while limiting com... | Roundtable: An Online Framework for Building Web-based Conversational Agents |
d239020530 | AbstractYandex.Translate is a popular online service with a various translation scenarios and a great opportunity for crowdsourcing. Some crowdsource systems invent artificial tasks and enforce volunteers to accomplish them. We instead encourage ordinary users to run their own tasks and thus collect valuable data from ... | MT crowdsource at Yandex |
d917891 | As part of our effort in developing a spoken language system for interactive problem solving, we recently collected a sizeable amount of speech data. This database is composed of spontaneous sentences which were collected during a simulated human/machine dialogue. Since a computer log of the spoken dialogue was maintai... | THE COLLECTION AND PRELIMINARY ANALYSIS OF A SPONTANEOUS SPEECH DATABASE* |
d14863804 | This paper analyses three existing tagsets for dialogue acts, i.e., the function of utterances in dialogue. Then, a new tagset is proposed, named MALTUS, designed for the annotation of meeting recording transcripts. Several criteria for tagset definition are discussed, along with the possible theoretical inspiration fo... | Abstracting a Dialogue Act Tagset for Meeting Processing |
d23504342 | Automatic completion of frame-to-frame (F2F) relations in the FrameNet (FN) hierarchy has received little attention, although they incorporate meta-level commonsense knowledge and are used in downstream approaches. We address the problem of sparsely annotated F2F relations. First, we examine whether the manually define... | Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings |
d6345619 | Morphology induction is a subproblem of important tasks like automatic learning of machine-readable dictionaries and grammar induction. Previous morphology induction approaches have relied solely on statistics of hypothesized stems and affixes to choose which affixes to consider legitimate. Relying on stemand-affix sta... | Knowledge-Free Induction of Morphology Using Latent Semantic Analysis |
d52010553 | We analyze two novel data sets of German educational media texts targeting adults and children. The analysis is based on 400 automatically extracted measures of linguistic complexity from a wide range of linguistic domains. We show that both data sets exhibit broad linguistic adaptation to the target audience, which ge... | Modeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation |
d249980834 | We present the Camel Treebank (CAMELTB), a 188K word open-source dependency treebank of Modern Standard and Classical Arabic. CAMELTB 1.0 includes 13 sub-corpora comprising selections of texts from pre-Islamic poetry to social media online commentaries, and covering a range of genres from religious and philosophical te... | Camel Treebank: An Open Multi-genre Arabic Dependency Treebank |
d31399373 | We present a system for time-sensitive, topic-based summarisation of sentiment around target entities and topics in collections of tweets. We describe the main elements of the system and present two examples of sentiment analysis of topics related to the 2017 UK general election. | TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter |
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d51872547 | Twitter accounts include a range of different types of users.While many individuals use Twitter, organizations also have Twitter accounts.Identifying opinions and trends from Twitter requires the accurate differentiation of these two groups. Previous work presented a method for determining if an account was an individ... | Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter |
d775686 | We investigate the problem of parsing the noisy language of social media. We evaluate four Wall-Street-Journal-trained statistical parsers (Berkeley, Brown, Malt and MST) on a new dataset containing 1,000 phrase structure trees for sentences from microblogs (tweets) and discussion forum posts. We compare the four parse... | From News to Comment: Resources and Benchmarks for Parsing the Language of Web 2.0 |
d10236981 | Ekavian and Ijekavian are two different variants of the contemporary standard Serbian language. The difference between them is related to the reflex of the old Slavic vowel jat and it influences both the speaking and writing language norms. The sensibility of existing language identification tools for both variants is ... | The Mysterious Letter J |
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d5926515 | AMBER is a model of first language acquisition that improves its performance through a process of error recovery. The model is implemented as an adaptive production system that introduces new condition-action rules on the basis of experience. AMBER starts with the ability to say only one word at a time, but adds rules ... | A Model of Early Syntactic Development |
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d5603421 | We present a supervised learning approach to cross-lingual textual entailment that explores statistical word alignment models to predict entailment relations between sentences written in different languages. Our approach is language independent, and was used to participate in the CLTE task (Task#8) organized within Sem... | ALTN: Word Alignment Features for Cross-lingual Textual Entailment |
d2475802 | GOALSThe TIPSTER Program aims to push the technology for access to information in large (multi-GB) text collections, in particular for the analysts in Government agencies. Technology is being developed for document detection ("information retrieval") and for data extraction from free text.The primary mission of the TIP... | TIPSTER Text Phase II Architecture Design and the TIPSTER Phase H Contractors' Architecture Working Group (CA WG): Class Document Reference Type of ObjectReference Class AttributeReference Type of ObjectReference Class AnnotationReference |
d5848577 | This paper presents a progressively challenging series of experiments that investigate clarification subdialogues to resolve the words in noisy transcriptions of user utterances. We focus on user utterances where the user's specific intent requires little additional inference, given sufficient understanding of the form... | Embedded Wizardry |
d2420604 | We have implenlented a.n interactive, Wel)-based, chat-style machine translation system, SUpl)ort;ing speech recognition and synthesis, local-or thirdparty correction of speech recognition and machine tra.nslation output, a.nd online learning. The underlying client-server architecture, implemented in .la.va TM, pl:ovid... | WebDIPLOMAT: A Web-Based Interactive Machine Translation System |
d202777099 | Bootstrapping for Entity Set Expansion (ESE) aims at iteratively acquiring new instances of a specific target category. Traditional bootstrapping methods often suffer from two problems: 1) delayed feedback, i.e., the pattern evaluation relies on both its direct extraction quality and the extraction quality in later ite... | Learning to Bootstrap for Entity Set Expansion |
d13069084 | This paper proposes a two-level model that integrates tense and aspect information, based on theories by both Hornstein (in the spirit of Reichenbach) and Allen, with lexicai-semantic information based on an extended version of $ackendoff's theory that includes a verb classification system proposed by Dowty and Vendler... | A Two-Level Knowledge Representation for Machine Translation: Lexical Semantics and Tense/Aspect |
d12014806 | In our media-driven world the perception of companies and institutions in the media is of major importance. The creation of press reviews analyzing the media response to company-related events is a complex and time-consuming task. In this demo we present a system that combines advanced text mining and machine learning ... | An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms |
d2184300 | This paper describes reusable, open-source tools for creation, maintenance, storage, and access of Language Resources (LR) needed for generating natural language texts from ontologies. One advantage of these tools is that they provide a user-friendly interface for NLG LR manipulation. They also provide unified models f... | Open-source Tools for Creation, Maintenance, and Storage of Lexical Resources for Language Generation from Ontologies |
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d16212742 | Motivation for including relational constraints other than equality within grammatical formalisms has come from discontinuous constituency and partially free word order for natural languages as well as from the need to define combinatory operations at the most basic level for languages with a two-dimensional syntax (e.... | F-PATR: FUNCTIONAL CONSTRAINTS FOR UNIFICATION-BASED GRAMMARS |
d226283543 | The ability to recognize harmful content within online communities has come into focus for researchers, engineers and policy makers seeking to protect users from abuse. While the number of datasets aiming to capture forms of abuse has grown in recent years, the community has not standardized around how various harmful ... | A Unified Typology of Harmful Content |
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d201687076 | Previous research suggests that translation product features such as word translation entropy (WTE) and the degree of syntactic equivalence (SE) correlate with cognitive load ), and Sun(2015), respectively). WTE quantifies the number of translation choices at word level that a translator is confronted with, whereas SE ... | The CRITT translation process research database |
d51879513 | Over the years, natural language processing has increasingly focused on tasks that can be solved by statistical models, but ignored the social aspects of language. These limitations are in large part due to historically available data and the limitations of the models, but have narrowed our focus and biased the tools d... | The Social and the Neural Network: How to Make Natural Language Processing about People again |
d9157356 | This paper summarizes the SIGHAN 2014 Chinese Word Segmentation bakeoff in several aspects such as dataset, evaluation results. In addition, we analyze errors of segmentation by instance and make a suggestion for improving segmentation systems. | The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bake-off |
d204841613 | This paper presents challenges and observations on creating a code-switching treebank based on ongoing annotation efforts of a Turkish-German spoken corpus following the Universal Dependencies annotation scheme. We present and discuss a number of issues that arise because of the need for consistent multilingual annotat... | Challenges of Annotating a Code-Switching Treebank |
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d29711347 | We propose a new approach to text categorization based upon the ideas of summarization. It combines word-based frequency and position method to get categorization knowledge from the title field only. Experimental results indicate that summarization-based categorization can achieve acceptable performance on Reuters news... | A Text Categorization Based on Summarization Technique |
d11101999 | Instructional texts consist of sequences of instructions designed in order to reach an objective. The author or the generator of instructional texts must follow a number of principles to guarantee that the text is of any use. Similarly, a user must follow step by step the instructions in order to reach the results expe... | Towards Generating Procedural Texts: an exploration of their rhetorical and argumentative structure |
d1206711 | This paper investigates two approaches to speech segmentation based on different heuristics: the utterance-boundary strategy, and the predictability strategy. On the basis of former empirical results as well as theoretical considerations, it is suggested that the utteranceboundary approach could be used as a preprocess... | Combining Utterance-Boundary and Predictability Approaches to Speech Segmentation |
d248780085 | Social media platforms play a major role in our day-to-day life and are considered as a virtual friend by many users, who use the social media to share their feelings all day. Many a time, the content which is shared by users on social media replicate their internal life. Nowadays people love to share their daily life ... | Detection of Depression using Transformer Models |
d1023047 | This paper introduces the "Gendercheck Editor", a tool to check German texts for gender discriminatory formulations. It relays on shallow rule-based techniques as used in the Controlled Language Authoring Technology (CLAT). The paper outlines major sources of gender imbalances in German texts. It gives a background on ... | Controlling Gender Equality with Shallow NLP Techniques |
d14485261 | In creating an English grammar checking software product, we implemented a large-coverage grammar based on the dependency grammar formalism. This implementation required some adaptation of current linguistic description to prevent serious overgeneration of parse trees. Here, • we present one particular example, that of... | A Case Study in Implementing Dependency-Based Grammars |
d21416926 | Le dictionnaire Les verbes français se présente sous deux formats, l'édition-papier de 1997 et l'édition électronique en ligne. La première correspond à une approche prioritairement onomasiologique (des classes génériques aux entrées lexicales pouvant regrouper différentes constructions) et secondairement sémasiologiqu... | Comment élaborer un article lexicographique à partir du dictionnaire électronique Les Verbes Français |
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