text stringlengths 4 222k | label int64 0 4 |
|---|---|
In recent years, stance classification for online debates has received increasing research interest (Somasundaran and Wiebe, 2010; Anand et al., 2011; Walker et al., 2012; Ranade et al., 2013; Sridhar et al., 2014) . Given a post belonging to a two-sided debate on an issue (e.g. abortion rights; see Table 1 ), the task... | 0 |
Mnch important work has been done to investigate the adequacy of local TAGs to account for various linguistic phenomena, see, e.g., (Heycock, 1987; Becker et al. , 1992; Abeille, 1994; Bleam, 1994; Kulick, 1998; Joshi et o.l" 2000) . This paper presents a new methodology for doing this kind of research. The algorithm p... | 0 |
In recent years, the application of deep learning to natural language processing (NLP) has been a success. Many consider the employment of distributed representations to be one of the reasons for deep learning's success (LeCun et al., 2015; Young et al., 2018) . However, how these distributed representations encode inf... | 0 |
This paper describes the University of Edinburgh's submissions to the Workshop on Neural Generation and Translation (WNGT) 2020 Efficiency Shared Task 1 using the Marian machine translation toolkit (Junczys-Dowmunt et al., 2018a) . The task has GPU, single-core CPU, and multi-core CPU tracks. Our submissions focus on t... | 0 |
There is a growing interest in math word problem solving Koncel-Kedziorski et al., 2015; Huang et al., 2017; Roy and Roth, 2018) . It requires reasoning with respect to sets of numbers or variables, which is an essential capability in many other natural language understanding tasks. Consider the math problems shown in ... | 0 |
Studies on Music Information Retrieval (MIR) have shown moods as a desirable access point to music repositories and collections (Hu and Downie, 2010a) . In the recent decade, much work on western music mood classification has been performed using audio signals and lyrics (Hu and Downie, 2010a; Mihalcea and Strapparava,... | 0 |
The maximum entropy model (Berger et al., 1996; Pietra et al., 1997) has attained great popularity in the NLP field due to its power, robustness, and successful performance in various NLP tasks (Ratnaparkhi, 1996; Nigam et al., 1999; Borthwick, 1999) .In the ME estimation, an event is decomposed into features, which in... | 0 |
Multi-Document Summarization (MDS) is the task of condensing the most relevant information from several documents in a single one. In terms of the DUC contests 1 , a query-focused summary has to provide a "brief, well-organized, fluent answer to a need for information", described by a short query (two or three sentence... | 0 |
In this paper, we present a workflow with manual translation from the majority languages Finnish, Norwegian (and Swedish) into North Saami and subsequent rule-based machine translation (hereafter MT) into the target languages (hereafter TL) South, Lule and Inari Saami. Thus North Saami is source language (SL) for the M... | 0 |
Natural language generation is the process of realising communicative intentions as text (or speech).The generation task is standardly broken down into the following processes: content determination (what is the meaning to be conveyed), sentence planning 1 (chunking the meaning into sentence sized units, choosing words... | 0 |
The advent of crowdsourcing as a cheap but noisy source for annotation labels has spurred the development of algorithms to maximize quality and minimize cost. Techniques can detect spammers (Oleson et al., 2011; Downs et al., 2010; Buchholz and Latorre, 2011) , model worker quality and bias during label aggregation (Ju... | 0 |
Most of the world's 6800 languages are relatively unstudied, even though they are no less important for scientific investigation than major world languages. For example, before Hixkaryana (Carib, Brazil) was discovered to have object-verb-subject word order, it was assumed that this word order was not possible in a hum... | 0 |
Probabilistic language models are used extensively in a variety of linguistic applications, including speech recognition, handwriting recognition, optical character recognition, and machine translation. Most language models fall into the class of n-gram models, which approximate the distribution over sentences using th... | 0 |
The U.S. federal agencies amend rules in a highly transparent manner, inviting public participation as they are finalized. This is legally ensured in part by the requirement that agencies publish descriptions and rationale behind newly proposed rules and solicit feedback from the public (Park et al., 2012; Farina and N... | 0 |
Tasks involving the generation of natural language are ubiquitous in NLP, including machine translation (MT; Koehn (2010)), language generation from structured data (Reiter and Dale, 2000) , summarization (Mani, 1999) , dialog response generation (Oh and Rudnicky, 2000) , image captioning (Mitchell et al., 2012) . Unli... | 0 |
Large corpora are essential for the modern data-driven approaches to natural language processing (NLP), especially for unsupervised methods, such as word embeddings (Mikolov et al., 2013) or open information extraction (Banko et al., 2007) due to the "unreasonable effectiveness of big data" (Halevy et al., 2009) . Howe... | 0 |
It is commonly agreed that even massive resources for language & vision (Deng et al., 2009; Chen et al., 2015; Krishna et al., 2017) will never fully cover the huge range of objects to be found "in the wild". This motivates research in zero-shot learning (Lampert et al., 2009; Socher et al., 2013; Hendricks et al., 201... | 0 |
Recent advances of Statistical Machine Translation (SMT) have improved Machine Translation (MT) quality to such an extent that it can be successfully used in industrial processes (Flournoy and Duran, 2009) . However, this mostly happens in very specific domains for which ample training data is available (Wu et al., 200... | 0 |
Ensemble learning is a machine learning technique that combines the output of several different classifiers with the goal of improving classification performance. The classifiers within the ensemble may differ in several ways, such as the learning algorithm or knowledge representation used, or data they were trained on... | 0 |
Many people are working on acquisition of multi-gram semantic units, although the terminology varies. "Gram" here means "sociological word," which is the familiar "word" in English, and the "character" in Chinese (Packard, 2000) . Whether the goal is collocation extraction (Lin, 1998) , multiword expression extraction ... | 0 |
With the increasing use of electronic health records, it becomes urgent to leverage this rich information resource about patients' health conditions to transform research in health and medicine. As an example, when developing a cohort for a clinical trial, researchers need to identify patients matching a set of clinica... | 0 |
As native languages of the Deaf, Sign Languages (SL) are visio-temporal constructs which convey meaning through hand gestures, upper body motion, facial expressions and mouthings. Automatic Sign Language Recognition (ASLR) is a challenging task and an active research field with the aim of reducing the dependency of sig... | 0 |
Prepositions have recently become the focus of much attention in the natural language processing community, as evidenced for example by the ACL workshops, a dedicated Sem-Eval task, and The Preposition Project (TPP, Litkowski and Hargraves 2005) . This is because prepositions play a key role in determining the meaning ... | 0 |
Question Answering (QA) has come a long way from answer sentence selection, relationship QA to machine reading comprehension (MRC). Recently, QA has become an essential problem in natural language understanding and a major milestone towards human-level machine intelligence. Current mainstream approaches (Chen et al., 2... | 0 |
Neural Machine Translation (NMT) has achieved high translation accuracy in large-scale data conditions. However, translation accuracy of NMT drops in the lack of bilingual data (Koehn and Knowles, 2017) . There are several approaches such as backtranslation (Sennrich et al., 2016) and transfer learning (Zoph et al., 20... | 0 |
As electronic health records (EHRs) are widely adopted in health care, medicine is increasingly an information science (Stead et al., 2011; Shortliffe, 2010; Krumholz, 2014) : Obtaining and analyzing information is critical for the diagnosis, prognosis, treatment, and prevention of disease. Although EHRs may increase t... | 0 |
Once available for only a handful of languages, treebanks are becoming much more widespread. In many respects this is thanks to the activities of the Universal Dependencies (or UD, Nivre et al., 2016) community, which is an inclusive cross-linguistic consistently-annotated collection of treebanks. The collection today ... | 0 |
Consulting online reviews on products or services is popular among consumers. Opinions in reviews are scrutinised to make an informed decision on which product to buy, what service to use, or which point-of-interest to visit. An opinion is a view or judgment formed about something, not necessarily based on fact or know... | 0 |
Improving unsupervised learning is of key importance for advancing machine learning methods, as to unlock access to almost unlimited amounts of data to be used as training resources. The majority of recent success stories of deep learning does not fall into this category but instead relied on supervised training (in pa... | 0 |
Logical metonymies (The student finished the beer) require the interpretation of a covert event which is not overtly realized in the sentence (→ drinking the beer). Logical metonymy has received much attention as it raises issues that are relevant to both theoretical as well as cognitive accounts of language.On the the... | 0 |
Deception can occur in many different ways; it is possible to deceive not only about the content of a message, but about its background or origin. For example, a friendly invitation can become sexual harassment when sent from the wrong person, and very few ransom notes are signed by their authors. Recent research into ... | 0 |
In natural language processing (NLP), there are three main tasks that deal with metaphors: detection, comprehension, and generation. Generation has been studied less intensively than the others, but it has many applications. In poetry and prose, a metaphor is a tool that gives originality to works by helping writers av... | 0 |
String models are popular in statistical machine translation. Approaches include word substitution systems (Brown et al., 1993) , phrase substitution systems (Koehn et al., 2003; Och and Ney, 2004) , and synchronous context-free grammar systems (Wu and Wong, 1998; Chiang, 2005) , all of which train on string pairs and ... | 0 |
De nombreuses études ont montré que l'extraction de l'information statistique contribue à la construction des capacités de perception de la parole dès le plus jeune âge (Guenther & Gjaja, 1996 ; Jusczyk, Luce, & Charles-Luce, 1994 ; Peperkamp, Pettinato, & Dupoux, 2003 ; Saffran, Aslin, & Newport, 1996) .Parmi ces trav... | 0 |
The World Wide Web has become a fertile area, storing a vast amount of data and information. One of them we are interested is the Frequently Asked Questions (FAQs). For customer services, message providing, etc., many Websites have created and maintained their own FAQs.A large collection of FAQs is very useful for many... | 0 |
Pattern based relation acquisition methods rely on lexico-syntactic patterns (Hearst, 1992) for extracting relation instances. These are templates of natural language expressions such as "X causes Y " that signal an instance of some semantic relation (i.e., causality). Pattern based methods (Agichtein and Gravano, 2000... | 0 |
Discourse connectives are a class of lexical items which signal discourse relations between clauses or sentences. Several discourse connectives that are frequent in English are also quite ambiguous, in that, depending on their occurrence, they can signal various discourse relations. When translating from English into a... | 0 |
Scientific writing has many conventions. Some exist at the level of sentence construction, such as a preference for the passive voice or for deverbal nominalisations. Others relate to the high-level organisation of a paper: a typical paper at an NLP conference may be divided into sections covering the introduction, rel... | 0 |
Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims to automatically extract opinion pairs (aspect term, opinion term) or opinion triplets (aspect term, opinion term, sentiment) from review text, which is an important task for fine-grained sentiment analysis (Pang and Lee, 2007; Liu, 2012) . In this task, aspec... | 0 |
There are two linguistic phenomena that are interested in Ihe processing of computational morphology. They are morphological transformation and morpheme identification. Two-level model and syllable--based formalism focussed on the problem of morl)hological h'ansformntion IBear88, Cahig0, Kosk83] . Morpheme identificati... | 0 |
Word sense disambiguation is a crucial task in many kinds of natural language I)rot:essing at)l)lications, such as word selection in iIla(;hine translation (Sato, 1991) , pruning of syntactic structures in parsing (l,ytinen, 1986; Nagao, 11994) an(l text retrieval (Krovets and Croft, 1992; Voorht'.es, 1993) . Various r... | 0 |
Our participation to the 2013 Semantic Textual Similarity task (STS) (Agirre et al., 2013) 1 was focused on the CORE problem: GIVEN TWO SENTENCES, s 1 AND s 2 , QUANTIFIABLY INFORM ON HOW SIMI-LAR s 1 AND s 2 ARE. We considered real-valued features from four different sources: (i) a set of linguistic measures computed ... | 0 |
Understanding contextual semantics of words is crucial in many natural language processing (NLP) applications. Recent trends in text mining and NLP suggest immense interest towards learning word embedding or word representation in a vector space from a large corpus, which could be useful for a variety of applications l... | 0 |
Many companies including news agencies have increasingly been extracting news information from postings on Social Networking Sites (SNSs) such as Twitter and Facebook and using it for various purposes (Neubig et al., 2011; Iso et al., 2016) . However, choosing important information for news reports from Twitter is very... | 0 |
Depression is a common illness that affects over 264 million people worldwide. Depression and other mental health conditions are becoming more common around the world. At its worst, depression can lead to suicide. A resolution passed by the World Health Assembly in 2013 advocated for a comprehensive, coordinated approa... | 0 |
One of the key subtasks in sentiment analysis is opinion role extraction. It can be divided into the extraction of opinion holders (OH), i.e. entities expressing an opinion, and the extraction of opinion targets (OT), i.e. entities or propositions at which sentiment is directed. This task is vital for various applicati... | 0 |
The task of grammatical error detection (GED) and grammatical error correction (GEC) refers to the identification and repair of grammatical errors in text generated by speakers of a language (native/non-native). Many techniques, rule-based as well as machine learning based, have been proposed for addressing this task. ... | 0 |
There has been much interest in converting treebanks from one representation to another; for instance, from phrase structure to dependency structure (e.g., motivated by the recent surge in interest in dependency parsing), or from phrase structure to other grammatical frameworks such as LTAG, HPSG, CCG, or LFG. While th... | 0 |
Native Language Identification (NLI) is the task of identifying a writer's native language (L1) based only on their writings in a second language (the L2). NLI works by identifying language use patterns that are common to groups of speakers of the same native language. This process is underpinned by the presupposition ... | 0 |
A number of wide-coverage TAG, CCG, LFG and HPSG grammars (Xia, 1999; Chen et al., 2005; Hockenmaier and Steedman, 2002a; Miyao et al., 2004) have been extracted from the Penn Treebank (Marcus et al., 1993) , and have enabled the creation of widecoverage parsers for English which recover local and non-local dependencie... | 0 |
Natural Language Inference (NLI) is the task of determining whether a premise entails a hypothesis. In particular, NLI involving temporal expressions is crucial. (1) is an example of English NLI involving temporal expressions.(1) P: I arrived in April 2021.H: I arrived before May 2021. (entailment)The inference example... | 0 |
Humans have a remarkable ability to learn concepts through language (Chopra et al., 2019; Tomasello, 1999) . For example, we can learn about poisonous mushrooms through an explanation like 'a mushroom is poisonous if it has pungent odor'. Such Figure 1 : We explore learning classification tasks over structured data fro... | 0 |
The last decade or so has seen a rapid progress in the field of Natural Language Processing (NLP) with a combination of new models and increasingly powerful hardware resulting in state of the art performances across a number of common tasks (Wang et al., 2020) . One important area of improvement has been in the vector-... | 0 |
Grâce aux progrès de la médecine, l'espérance de vie s'est allongée. Cependant, ce phénomène couplé à une baisse de la natalité a conduit à un vieillissement de la population. Pour aider les personnes âgées à vivre le plus longtemps possible à domicile, des solutions ont été développées en s'appuyant sur la robotique, ... | 0 |
Tile task of information retrieval is to extract relevant documents from large collection of documents ill response to a user's query. When the documents cont:dn primm'ily unrestricted text (e.g., newspaper `articles, legld documents, etc.) the relev,'mce of a document is established through 'full-text' retriewd. This ... | 0 |
Human emotion underlays in our daily interactions with other people, and study from Ekman(1987) shows that emotion is a universal phenomena across different cultures. An emotion detection system can improve mutual understanding between individuals by providing undetected emotion signal. For a common sense of human perc... | 0 |
In everyday language, we come across many types of figurative speech. These irregular expressions are understood with little difficulty by humans but require special attention in NLP. One of these is metonymy, a type of common figurative language, which stands for the substitution of the concept, phrase or word being m... | 0 |
Discourse segmentation, which divides text into proper discourse units, is one of the fundamental tasks in natural language processing. According to Rhetorical Structure Theory (RST) (Mann and Thompson, 1988) , a complex text is composed of non-overlapping Elementary Discourse Units (EDUs), as shown in Table 1 . Segmen... | 0 |
Scientific papers are valuable knowledge sources providing authentic insights about certain aspects of the research domains. With the advancement of scientific research, a massive growth of published articles are observed. As per the American Journal Experts (AJE) scholarly publishing report 1 , approximately 2.2 milli... | 0 |
Entity linking (EL) is the task of mapping entity mentions in a document to standard referent entities in a target knowledge base (KB) (Dill et al., 2003; Cucerzan, 2007; Mihalcea and Csomai, 2007; Milne and Witten, 2008; Ji et al., 2010; Radhakrishnan et al., 2018; Lai et al., 2021a; Jiang et al., 2021) . EL systems h... | 0 |
Neural language models 1 have become shockingly good at modeling natural language data in recent years (Merity et al., 2017; Conneau and Lample, 2019; Radford et al., 2019) . Thus, to test just how well neural language models capture language NLP researchers have started to look beyond standard evaluation metrics such ... | 0 |
In computational linguistics (CL), since Carletta's influential paper (Carletta, 1996) , the standard approach to check the reliability in annotation efforts is the Inter Annotator Agreement (IAA) -that is the extent to which different annotators independently make the same annotation decisions. For the purpose of calc... | 0 |
Event extraction aims to identify event predicates and arguments from text and then identify their types and roles respectively, helping humans to easily understand the events. It has attracted considerable interest in the last few years (Chen et al., 2015; Nguyen et al., 2016; Sha et al., 2018; Lin et al., 2020; Ebner... | 0 |
Over the past year, models based on the Transformer architecture (Vaswani et al., 2017) have become the de-facto standard for state-of-the-art performance on many natural language processing (NLP) tasks (Radford et al., 2018; Devlin et al., 2018) . Their key feature is the self-attention mechanism that provides an alte... | 0 |
Recent research on dialogue is based on the assumption that dialogue acts provide a useful way of characterizing dialogue behaviors in both humanhuman (HH) and human-computer (HC) dialogue (Isard and Carletta, 1995; Shriberg et al., 2000; Di Eugenio et al., 1998; Cattoni et al., 2001) . Previous research has used dialo... | 0 |
Named entity recognition (NER), or identifying the specific named entities (eg. person, location, organization etc) in a text, is a precursor to other information extraction tasks such as event extraction. The oldest and perhaps most common approach to NER is based on dictionary lookups, and indeed, when the resources ... | 0 |
The existing machine translation systems have relied almost exclusively on word-level modelling with explicit segmentation. This is mainly due to the issue of data sparsity which becomes much more severe, especially for n-grams, when a sentence is represented as a sequence of characters rather than words, as the length... | 0 |
Twitter is arguably the most popular microblog site where people can post short, instant messages to share with families, friends and the rest of the world. For content analysis on Twitter, two important concepts have been repeatedly visited: (1) Topics. These are longstanding themes that many personal tweets revolve a... | 0 |
Previous work from Natural Language Processing (NLP) and Computational Social Science (CSS) that studies argumentative text and its persuasive effects has mainly focused on identifying the content and structure of an argument (e.g. Feng and Hirst (2011)) and the linguistic features that are indicative of effective argu... | 0 |
The increasing popularity of question answering websites has led to the emergence of a new area of research called community question answering, which has to deal with two distinct but complementary tasks. The first task, called question-to-question similarity, has to provide related questions to a given original quest... | 0 |
Verbal autopsies (VAs) are written records of the events leading up to a person's death, typically in situations where there was no physical autopsy and the cause of death (CoD) was not determined by a physician. As per World Health Organization recommendations, most VAs contain structured information from answers to a... | 0 |
The number of countries who can sustain teams of experts for global monitoring of human/animal health is limited by scarce national budgets. Whilst some countries have advanced sensor networks, the world remains at risk from the health impacts of infectious diseases and environmental accidents. As seen by the recent A(... | 0 |
As a language with no grammatical tense, Chinese does not encode the temporal location of an event directly in a verb, while in English, the grammatical tense of a verb is a strong indicator of the temporal location of an event. In this paper we address the problem of inferring the semantic tense, or the temporal locat... | 0 |
Atlas.txt is a data-to-text natural language generation (NLG) system which aims to communicate geo-referenced information to VI people. Georeferenced data are data which has a geographic component, and is distributed over a region on Earth. Such data is often visualised as thematic maps, as shown in Figure 1 , where co... | 0 |
The amount of electronic data available such as digital libraries, blogs, electronic newspaper, electronic publications, emails, electronic books is increasing rapidly. However, as the volume of electronic data increases the challenge to manage that data also increases. Thus, automatic organization of text documents be... | 0 |
Sentiment analysis has emerged as a leading technique to automatically identify affective information within texts. In sentiment analysis, affective states are generally represented using either categorical or dimensional approaches (Calvo and Kim, 2013) . The categorical approach represents affective states as several... | 0 |
Large textual corpora offer the possibility of a statistical approach to the task of sentence generation. Like any large-scale NLP or AI task, the task of sentence generation requires immense amounts of knowledge. The knowledge needed includes lexicons, grammars, ontologies, collocation lists, and morphological tables.... | 0 |
Suicide is among the top three causes of death among youth worldwide. According to a WHO report 1 , almost one million people die from suicide annually and 20 times more people attempt suicide. Therefore, suicide causes a global mortality rate of 16 per 100,000, and there is one attempt every 3 seconds on average (Radh... | 0 |
Understanding events, how they progress, and who is involved in them is fundamental to our knowledge of the world and our ability to anticipate future events. Human beings have mental representations of typical scenarios at various levels of granularity. Defining such scenarios or templates for use in information extra... | 0 |
In this paper, we study the task of automatically generating templates for entity summaries. An entity summary is a short document that gives the most important facts about an entity. In Wikipedia, for instance, most articles have an introduction section that summarizes the subject entity before the table of contents a... | 0 |
Visual Question Answering (VQA) is a recentlyintroduced (Antol et al., 2015; Geman et al., 2014; Malinowski and Fritz, 2014) problem where given an image and a natural language question (e.g., "What kind of store is this?", "How many people are waiting in the queue?"), the task is to automatically produce an accurate n... | 0 |
To deal with emerging topics, events or linguistic phenomena, text classification systems often need to accommodate new classes. Recently, there has been increasing interest in addressing this problem through the lens of few-shot learning, which focuses on learning from a small handful of examples rather than a large a... | 0 |
The language used when talking about other people significantly impacts society and individuals. Talking about others and using caring and sympathetic language to express them causes them to be concerned, regardless of the author's intention, which is often to help others by raising awareness of their cause. Unfair tre... | 0 |
Human languages are intertwined with their cultures and societies, having evolved together, reflecting them and in turn shaping them (Ottenheimer, 2013; Dediu et al., 2013) . Part-of-day nouns (e.g. 'morning' or 'night') are an example of this, as their meaning depends on how each language's speakers organize their dai... | 0 |
The NESPOLE and C-STAR machine translation projects use an interlingua representation based on speaker intention rather than literal meaning. The speaker's intention is represented as a domain independent speech act followed by domain dependent concepts. We use the term domain action to refer to the combination of a sp... | 0 |
Parallel data, i.e. sentences in two languages which are mutual translations, are a crucial resource for many multilingual natural language processing tasks. Traditionally, high quality parallel texts are obtained from the publications of international organizations like the the United Nations (Ziemski et al., 2016) or... | 0 |
To transliterate a foreign name into a target language, a direct instrument is to make use of existing rules for converting text to syllabus, or at least a phoneme base to support such transformation. Following this path, the well developed noisy channel model used for transliteration usually set an intermediate layer ... | 0 |
Analysis of linguistic style in social media has grown in popularity over the past decade. Popular prediction problems within this space include gender classification (Argamon et al., 2003) , age classification (Argamon et al., 2007) , political affiliation classification (Jiang & Argamon, 2008) , and sentiment analysi... | 0 |
The bilingual lexicon is a crucial resource for multilingual applications in natural language processing including machine translation (Brown et al., 1990 ) and cross-lingual information retrieval (Nie et al., 1999) . A number of bilingual lexicons have been constructed manually, despite their expensive compilation cos... | 0 |
The dominant paradigm in statistical machine translation consists mainly of phrase-based system such as Moses (Koehn et.al.,2007) . Different languages, however, often express the same concepts in different idiomatic word orders, and while phrase-based system can deal to some extent with short-distance word swaps that ... | 0 |
Le Traitement Automatique du Langage Naturel (TALN) est un domaine à la fois scientifique et technologique en plein essor qui débouche sur des applications très diverses : correction automatique des erreurs, analyse de textes, génération automatique de résumés, extraction de connaissances, interrogation de bases de don... | 0 |
Wordnets are online lexical resources which are easily accessible, free to use, and fairly accurate. They play a dominant role in the field of text processing applications, such as machine translation, information extraction, information retrieval and natural language understanding systems. Among the Indian language wo... | 0 |
As a fundamental task in information extraction, named entity recognition (NER) is useful for NLP tasks such as relation extraction (Zelenko et al., 2003) , event detection (Kumaran and Allan, 2004) and machine translation (Babych and Hartley, 2003) . We investigate Chinese NER (Gao et al., 2005) , for which the state-... | 0 |
Semantic parsing of text corpora is needed to support tasks such as information extraction and question-answering. In particular, shallow semantic parsing focuses on identifying the semantic roles of the arguments of a verb (or any predicate) rather than parsing the whole sentence in detail.Traditional shallow semantic... | 0 |
Event detection (ED) aims to identify triggers of specific event types. For instance, an ED system will identify fired as an Attack event trigger in the sentence "An American tank fired on the Palestine Hotel." Event detection plays an important role in Automatic Content Extraction (Ahn, 2006) , Information Retrieval (... | 0 |
The goal of event extraction (EE) is to identify events of a pre-specified type along with corresponding arguments from plain texts. A great number of previous studies (Ahn, 2006; Ji and Grishman, 2008; Liao and Grishman, 2010; Hong et al., 2011; Li et al., 2013; Chen et al., 2015; Nguyen et al., 2016; Yang and Mitchel... | 0 |
Cross-lingual pre-training (Lample and Conneau, 2019) has achieved striking success in the field of natural language processing. By providing effective prior representations for the inputs from different languages, it has boosted performance on various downstream tasks such as machine translation and cross-lingual lang... | 0 |
Many NLP tasks traditionally approached as tagging focus on lexical semantic behavior-they aim to identify and categorize lexical semantic units in running text using a general set of labels. Two examples are supersense tagging of nouns and verbs as formulated by Ciaramita and Altun (2006) , and verbal multiword expres... | 0 |
Large speech corpora have become indispensable for current linguistic research and information science applications dealing with spoken data (Gibbon et al. 1997) . Concretely, they provide real phonetic data and empirical data-driven knowledge on linguistic features of spoken language. The corpus presented here is comp... | 0 |
SweLL-Swedish Learner Language-is a project aimed at setting up an electronic infrastructure for collecting, annotating, searching and analyzing Swedish learner language (Volodina et al., 2016a) . During the first year of the project, a number of the project aims related to the questions of data accessibility for the r... | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.