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With increasing storage capacity, providing audio information has become a common feature in many media systems. There are many sources of purely spoken documents, radio programs and voice messaging to name a few. Both education and research would benefit from effective storage and retrieval of audio material, such as ... | 0 |
Referring Expression Generation (REG) is considered a core task in many NLG systems (Krahmer and van Deemter, 2012) . Typically, the REG task is defined in terms of identification: a referent needs to be unambiguously identified in a discourse, enabling the reader or listener to pick it out from among its potential dis... | 0 |
Patient records are typically large collections of documents that reflect the medical history of a patient over a period of time. On average, the electronic patient record of a cancer patient contains information from over 150 documents, representing consult notes, referral letters, letters to and from the patient's GP... | 0 |
With the growth of the internet and the increasingly smaller barrier to entry, social media have become viable platforms for people to make their views known. These easily accessible fora for discourse have given a voice to many minorities and individuals to share their stories. The caveat, however, is that these platf... | 0 |
The entity-relation (ER) model (Chen, 1976) views the physical world as a collection of entities with complex relationships. Automatic extraction of this model from raw text is important for creating a knowledge base (such as relational databases, marked-up text etc.) that can be used to achieve better end-to-end perfo... | 0 |
For this year's Semantic Textual Similarity (STS) evaluation, we built upon the best performing system we deployed last year with several methods for exploring the soft similarity between windows of words, instead of relying just on single token-totoken similarities. From the previous year's evaluation, we were impress... | 0 |
Syntactic theories based on the concept of dependency have a long tradition. Tesnière (Tesnière, 1959) was the first who systematically described the sentence structure in terms of binary relations between words (dependencies), which form a dependency tree (D-tree for short). D-tree itself does not presume a linear ord... | 0 |
As the popularity of natural language processing (NLP) based tools increases, there is a rising need for language resources such as annotated corpora to develop NLP tools. In this regard, Arabic lags behind other languages due to several reasons. First, Arabic is complex at various levels of linguistic representation (... | 0 |
Representation learning is very prominent in the field of natural language processing (NLP). For example, word embeddings learned by neural language models (NLM) were shown to improve the performance when used as features for supervised learning tasks such as named entity recognition (NER) (Collobert et al., 2011; Turi... | 0 |
Parsing morphologically rich free word order language like Hindi 1 is a challenging task. For such languages dependency based framework suits better than the constituency based one [10] [19] [15] [2] . Data driven dependency parsers has achieved considerable success due to the availability of annotated corpora in recen... | 0 |
Reading is a key competence for language learners. For learners of English as a Second Language (ESL), reading provides a crucial channel for learners to integrate and exercise the knowledge of previously learned vocabulary and grammar. If we could provide appropriate material to ESL learners, they would receive indivi... | 0 |
The rapid growth of social media data in recent years has encouraged different studies which only existed at the psychological level (theory or pure logic). Various attributes of users can be analyzed from the texts they write on the social media platform. The studies include age, gender prediction (Marquardt et al., 2... | 0 |
Data-driven phrase-based MT has been, for many years, the technique that has achieved the best results in MT, much due to the availability of huge parallel data sets. Requiring such large amounts of training data is a hindrance for languages with fewer resources. Statistical MT (SMT) as an approach, however, may have i... | 0 |
JANUS is a natural language understanding and generation system which allows the user to interface with several knowledge bases maintained by the US NAVY. The knowledge bases contain, among other things, information about the deployment schedules, locations and readiness conditions of the ships in the Pacific Reet.(1) ... | 0 |
In spoken dialogue systems (SDS), the task of natural language generation (NLG) is to convert a meaning representation (MR) produced by the dialogue manager into one or more sentences in a natural language. It is traditionally divided into two subtasks: sentence planning, which decides on the overall sentence structure... | 0 |
The purpose of this paper is to provide yet another argument for the benefits of proof-theoretic semantics (PTS), when applied to natural language (NL), over the traditional model-theoretic semantics (MTS), by focusing on what came be known as unexpressed objects of transitive verbs (also referred to as implicit argume... | 0 |
Many of the recent methods for interpreting natural language commands are based mainly on semantic parsers and hand designed rules. This is often due to small datasets, such as Robot Commands Treebank (Dukes, 2013) or datasets by MacMahon et al. (2006) or Han and Schlangen (2017) . Tellex et al. (2011) and Walter et al... | 0 |
We present a parallel corpus containing full coreference annotation that has been created to address an important problem affecting machine translation (MT) and multilingual NLP technologies: translation of coreference across languages. The corpus is available from the LINDAT repository at http://hdl.handle.net/ 11372/... | 0 |
The shared task proposed by the organizers of the Cognitive Modeling and Computational Linguistics workshop (Hollenstein et al., 2021) requires participant to create systems capable of predicting eye-tracking data from the ZuCo dataset (Hollenstein et al., 2018) . Creating systems to efficiently predict biometrical dat... | 0 |
Many people refrain from expressing themselves or giving opinions online for the fear of harassment and abuse. Twitter admitted that such behavior is resulting in users quitting from their platform and sometimes they are even forced to change their location. Due to this, combating hate speech and abusive behavior has b... | 0 |
Despite being used by over 19 million people and being one of the official languages of Sri Lanka, there has not been much progress in developing natural language processing (NLP) applications for the Sinhala language. This is partly due to the lack of commercial interest on developing Sinhala NLP applications on a glo... | 0 |
PAHOMTS ® is a well-established rule-based transfer MT system, developed and maintained by computational linguists and translators in the PAHO Translation Services unit (TR). It has been operational at PAHO since 1980 (Vasconcellos and León, 1988) . It currently translates in six language combinations (all directions b... | 0 |
Journalists write and distribute news articles based on information collected from different sources (news agencies, media streams, other news articles etc.). In order to produce a high-quality piece, a fair bit of research is needed on the topic and domain at hand. Facts have to be checked, requiring at least basic do... | 0 |
Parallel multilingual corpora have long ago become a valuable resource both for academic and for industrial computational linguistics. They are employed for solving problems of machine translation, for research in comparative language studies and many more.One of difficult tasks in parallel multilingual corpora buildin... | 0 |
In general, SMT models are trained on large corpora which may include quite heterogeneous topics. These topics usually define a set of terminological lexicons. Terminologies need to be translated taking into account the semantic context in which they appear. The semantic dependency problem could be overcome by learning... | 0 |
Most automatic summarization approaches are extractive which leverage only literal or syntactic information in documents. Sentences are extracted from the original documents directly by ranking or scoring and only little post-editing is made (Yih et al., 2007; Wan et al., 2007; Wang et al., 2008; Wan and Xiao, 2009) . ... | 0 |
Le travail que nous présentons ici 1 s'inscrit dans le domaine de l'évaluation des systèmes de reconnaissance automatique de la parole (RAP). Nous souhaitons évaluer ces systèmes sachant qu'ils seront utilisés dans une tâche aval et adapter l'évaluation de la transcription à ce type d'usage. Au vu des données à notre d... | 0 |
Named Entity Recognition (NER), the task of identifying Named Entities (NEs) in unstructured texts and classifying them into pre-selected classes, is one of the most important subtasks in many NLP tasks, such as information retrieval, information extraction or machine translation. The NER task was introduced with the 6... | 0 |
LexicMized Tree Adjoining Grammars (LTAG) and Combinatory Categorial Grammar (CCG) (Steedman, 1997) are known to be weakly equivalent but not strongly equivalent. Coordination schema have a natural description in CCG, while these schema have no natural equivalent in a standard LTAG.In (Joshi and Schabes, 1991) it was s... | 0 |
Semantic resources can be very useful in many NLP tasks. Manual construction of such resources is labor intensive and susceptible to arbitrary human decisions. In addition, manually constructed semantic databases are not easily portable across text domains or languages. Hence, there is a need for developing semantic ac... | 0 |
Dictionaries are now commonly used resources in NLP systems. However, different lexical resources are not uniform; they contain different types of information and do not assign words the same number of senses. One way in which this problem might be tackled is by producing mappings between the senses of different resour... | 0 |
The 2014 International Workshop on Spoken Language Translation (IWSLT) offers a comprehensive evaluation campaign on spoken language translation. The evaluation is organized in different evaluation tracks covering automatic speech recognition (ASR), machine translation (MT), and the full-fledged combination of the two ... | 0 |
Ordering texts is an important task in many natural language processing (NLP) applications. It is typically applicable in the text generation field, both for concept-to-text generation and text-totext generation (Lapata, 2003) , such as multiple document summarization (MDS), question answering and so on. However, order... | 0 |
For most languages of the world, few or no language processing tools or resources exist (Baumann and Pierrehumbert, 2014) . This hinders efforts to apply certain language technologies enjoyed by languages like English, in which much current research is done.To perform natural language processing tasks in resource-poor ... | 0 |
The area of text summarization exists for several decades, since the first work of Luhn (Luhn, 1958) . The summarization approaches developed from extractive unsupervised statistical approaches to abstractive supervised methods, using deep learning models (Liu, 2019) . However, the most advanced seq2seq models (transfo... | 0 |
The panel will present the conference a candid presentation of the key factors contributing to decisions regarding the use of machine translation. Participants will discuss issues involving quality of machine output, input, ease of use and customization of the machine translation system. | 0 |
The increasing number of clinical research articles published each year is a double-edged sword. As of 2009, PubMed indexed over 19 million citations, over which 700,000 were added over the previous year 1 . While the research results further our knowledge and competency in the field, the volume of information poses a ... | 0 |
In the past few years more and more people have been using memes on social media platforms to express their thoughts and sometimes their beliefs. Although there are countless memes that are humorous and fun without expressing hate towards any certain group of people, there are also memes that aim to attack people.Misog... | 0 |
Online information is increasingly available at an exponential rate. According to a recent study by NetSizer (2000) , the number of web hosts has increased from 30 million in Jan.1998 to 44 million in Jan. 1999, and to more than 70 million in Jan. 2000. More than 2 million new hosts were added to the Internet in Feb. 2... | 0 |
Natural language understanding (NLU) is an umbrella term used to refer to any task that requires text understanding. For example, question answering (Rajpurkar et al., 2016) , information extraction (Stanovsky et al., 2018) , coreference resolution , and machine reading (Yang et al., 2019) , among many others, are task... | 0 |
Ambiguity is a central problem in natural language parsing. Combinatorial effects mean that even relatively short sentences can receive a considerable number of parses under a wide-coverage grammar. Statistical parsing approaches tackle the ambiguity problem by assigning a probability to each parse tree, thereby rankin... | 0 |
We describe the fallback understanding component of the DELPHI Natural Language component of BBN's Spoken Language System. This component is invoked when DEL-PHI's regular chart-based unification grammar parser is unable to parse an input; it attempts to come up with a parse and semantic interpretation, or a semantic i... | 0 |
Argumentation is a crucial aspect of writing skills acquisition. The ability of formulating persuasive arguments is not only the foundation for convincing an audience of novel ideas but also plays a major role in general decision making and analyzing different stances. However, current writing support is limited to fee... | 0 |
The Hidden Markov Model (HMM) used for partof-speech (POS) tagging is usually a second-order model, using tag trigrams, implementing the idea that a limited number of preceding tags provide a considerable amount of information on the identity of the current tag. This approach leads to good results. For example, the TnT... | 0 |
Zero-shot cross-lingual transfer involves training a model on task data in one set of languages (or language pairs, in the case of translation) and evaluating the model on the same task in unseen languages (or pairs). In the context of natural language understanding tasks, this is generally done using a pretrained mult... | 0 |
With the recent growth of social news sites and debate portals, people today discuss various topics online. These discussions include valuable public opinions of crowds. However, automated analyses of them are often difficult, requiring understanding of textual contents and discussion structures. By extending approache... | 0 |
Named entity recognition (NER) has been a fundamental task of Natural Language Processing (NLP), and three kinds of NER subtasks have been recognized in previous work (Sang and Meulder, 2003; Pradhan et al., 2013a; Doddington et al., 2004; Karimi et al., 2015) , including flat NER, nested NER, and discontinuous NER. As... | 0 |
The English pronouns in (1a) and (1b) do not have the same function as referential pronouns. Instead, they function as bound variables, their references determined by the c-commanding antecedent. The relationship between the antecedent (binder) and the bound variable is difficult to capture in standard TAG, as the depe... | 0 |
Multiple studies have analyzed health forums and other social media for drug uses, pharmacovigilance, and effectiveness of medications (Nikfarjam et al., 2015; Daniulaityte et al., 2016) . However, research related to drugs and adverse drug effects (ADE) in social media continues to grow rapidly. Automatically detectin... | 0 |
Neural machine translation (NMT) is a recent approach for machine translation that has led to remarkable improvements, particularly in terms of human evaluation, compared to rulebased and statistical machine translation (SMT) systems (Wu et al., 2016) . From the initial work on recurrent sequence-to-sequence models (Su... | 0 |
Nearly all existing language model (LM) architectures are designed to model one language at a time. This is unsurprising considering the historical importance of count-based models in which every surface form of a word is a separately modeled entity (English cat and Spanish gato would not likely benefit from sharing co... | 0 |
A MultiWord Expression (MWE) can be defined as a combination of words for which syntactic or semantic properties of the whole expression cannot be obtained from its parts (Sag et al., 2002) . Such units are made up of collocations ("cordon bleu"), frozen expressions ("kick the bucket"), named entities ("New York") etc.... | 0 |
Neural machine translation (NMT) is an endto-end approach to machine translation that has achieved competitive results vis-a-vis statistical machine translation (SMT) on various language pairs (Bahdanau et al., 2015; Sutskever et al., 2014; . In NMT, the sequence-to-sequence (seq2seq) model learns word embeddings for b... | 0 |
Conversational assistants have become increasingly prevalent in every-day life. With them, users can control appliances at home, get current weather information, or get help with recipes in the kitchen through simple voice commands. A typical dialog system processes user requests in multiple stages (see Figure 1 ). Fir... | 0 |
Nowadays, with the development of voice search, queries asked on search engines often fall in full natural language, which refer to NL queries. For example, for the purpose of looking for a restaurant, it is natural for us to ask "find the best Italian restaurant near seattle washington" rather than "Italian restaurant... | 0 |
Since Lakoff and Johnson's (1980) Contemporary Theory of Metaphor (CTM), many metaphor analyses have based their framework on this model. The CTM treats metaphors at the semantic level, i.e, a majority of the metaphorical instances such as He produces new idea at an astounding rate and His intellectual productivity has... | 0 |
Surveys of public opinion report that most Americans think that the tone and nature of political debate in this country have become more negative and less respectful and that the heated rhetoric by politicians raises the risk for violence (Center, 2019) . These observations motivate the need to study (in)civility in po... | 0 |
Plagiarism of spoken responses has become a vexing problem in the domain of spoken language assessment, in particular, the evaluation of nonnative speaking proficiency, since there exists a vast amount of easily accessible online resources covering a wide variety of topics that test takers can use to prepare responses ... | 0 |
Whenever people compose text, they (consciously or not) make sure that related sentences are cohesive and coherent within a common section. By using models to analyze discourse, we identify relations within a text that consist of phrases and a certain sense. These discourse relations and their understanding are importa... | 0 |
Our cross-lingual entity extraction, linking and localization system is capable of extracting named entities from unstructured text in any of 282 Wikipedia languages, translating them into English, and linking them to English Knowledge Bases (Wikipedia and Geonames). This system then produces visualizations of the resu... | 0 |
The Shared Task on Multimodal Translation and Multilingual Image Description tackles the problem of generating descriptions of images for languages other than English. The vast majority of image description research has focused on Englishlanguage description due to the abundance of crowdsourced resources (Bernardi et a... | 0 |
Processing of legal contracts requires significant human resources due to the complexity of documents, the expertise required and the consequences at stake. Therefore, a lot of effort has been made to automate such tasks in order to limit processing costs-notice that law was one of the first areas where electronic info... | 0 |
Distributional representations are the corner stone of modern NLP, which have led to significant advances in many NLP tasks like text classification, NER, sentiment analysis, MT, QA, NLI, etc.Particularly, word embeddings (Mikolov et al., 2013b) , contextualized word embeddings (Peters et al., 2018) , and language mode... | 0 |
Most existing text retrieval systems, including the web search engines, suffer from the problem of "one size fits all": the decision of which documents to retrieve is made based only on the query posed, without consideration of a particular user's preferences and search context. When a query (e.g. "jaguar") is ambiguou... | 0 |
We aim to develop a machine transliteration system that performs well in any given language pair without much effort in pre-and post-processing, and parameter tuning. To compare the performance of our system against state-of-the-art approaches, we participated in the machine transliteration shared task conducted as a p... | 0 |
It has become widely accel)ted that developing a large scale semantic dictionary is indispensable to future natural language research. ILL recent years, several research activities for compiling selnantic dictionaries tot natural language processing have been uudcrtaken One of the approaches in this research is attempt... | 0 |
The spread of offensive and hate speech on social media is one of the issues that mostly concerns the scientific community. The number of hate and offensive posts and comments on social media is growing day by day and the measures adopted by social media managers are often not enough. Most of the time, haters'accounts ... | 0 |
When using machine translation systems, users may desire to see different candidate translations other than the best one. In this scenario, users usually expect the system to show candidates with different sentence structures.To obtain diverse translations, conventional neural machine translation (NMT) models allow one... | 0 |
One challenge which rises above others in natural language processing (NLP) is where application performance decreases when there are dissimilarities between the training and the testing environments. In research on domain adaptation, training data with the same style and topic (van der Wees et al., 2015) as the test d... | 0 |
In this paper, we present a description of the typology of nominal phrases containing Proper Names (IN) and the local grammars [GrogT] , [Moh94] constructed on the basis of this description. The goal is to implement a system which detects automatically PNs in a given text, allowing the construction of an electronic lex... | 0 |
Neural machine translation (NMT) is one of success stories of deep learning in natural language processing, with recent NMT systems outperforming traditional phrase-based approaches on many language pairs (Sennrich et al., 2016a) . State-ofthe-art NMT systems rely on sequential encoderdecoders (Sutskever et al., 2014; ... | 0 |
In corpus-based machine translation and speech recognition, the performance of the language model depends heavily on the size and quality of the corpora. Therefore, the corpora are indispensable for these studies and applications. In recent decades, corpus development has seen rapid growth for many languages such as En... | 0 |
The extraction of binary relations from biomedical text has caught much attention in the recent years. Progress on this and other tasks has been monitored in challenge competitions such as BIOCREATIVE I and II, 1 which dealt with gene/protein names and and protein-protein interaction.The BIOCREATIVE challenge and other... | 0 |
Semantic parsing is the task of mapping natural language (NL) utterances to executable programs. While there has been much progress in this area, earlier work has primarily focused on evaluating parsers in-domain (e.g., tables or databases) and often with the same programs as those provided in training (Finegan-Dollak ... | 0 |
The Common European Framework of Reference (CEFR) is an internationally recognized standard for describing language proficiency based on six reference levels -A1, A2, B1, B2, C1 and C2 -the same letter pairs corresponding to a three level distinction between beginner, intermediate and advanced (Council of Europe, 2018)... | 0 |
Word representations and more recently, word embeddings, learned from large amounts of text have been quite successful as features in various NLP tasks (Koo et al., 2008; Turian et al., 2010; Collobert et al., 2011; Dhillon et al., 2012; Al-Rfou' et al., 2013; Bansal et al., 2014; Guo et al., 2014; Pennington et al., 2... | 0 |
Open-domain question answering (QA) (Voorhees et al., 1999 ) is a task of answering questions using a large collection of texts (e.g., Wikipedia). It relies on a powerful information-seeking method to efficiently retrieve evidence from the given large corpus.Traditional open-domain QA approaches mainly follow the two-s... | 0 |
There has been a good amount of interest in obtaining confidence scores for improving word or utterance accuracy, dialogue systems, information retrieving & extraction, and machine translation (Zhang and Rudnicky, 2001; Guillevic et al., 2002; Gabsdil et al., 2003; Ueffing et al., 2007) .However, these confidence score... | 0 |
The PKU system participated in the web track of task 11. In this task, the organizers propose an English lexical sample task for word sense disambiguation (WSD), where the sense-annotated examples are (semi)-automatically gathered from word-aligned English-Chinese parallel texts. After assigning appropriate Chinese tra... | 0 |
Natural language processing (NLP) tasks that use an encoder-decoder architecture tend to rely on the cross-entropy reconstruction loss to generate the target output. A great majority of deep learning models used at present for state-of-the-art machine translation, question answering, summarization, and dialogue generat... | 0 |
The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge (Dzikovska et al., 2013) brings together two important dimensions of Natural Language Processing: real-world applications and semantic inference technologies. The challenge focuses on the domain of middleschool quizzes, and attempts to... | 0 |
Recent studies on meaning representation parsing (MRP) have focused on different semantic graph frameworks such as bilexical semantic dependency graphs (Peng et al., 2017; Wang et al., 2018; Dozat and Manning, 2018) , universal conceptual cognitive annotation (Hershcovich et al., 2017 (Hershcovich et al., , 2018 , and ... | 0 |
The ACL anthology provides a valuable collection of scientific articles, and organizing it into a structured format could provide us with additional insight into research in this domain, help with finding related work and help with keeping up with new developments and ideas. The analysis of the ACL collection was stimu... | 0 |
Paraphrases are alternative linguistic expressions that convey the same content. Natural languages allow linguistic variations at different levels (e.g., lexical and phrasal) and a change at a level of language may trigger other changes at different levels. Paraphrasing has attracted a growing interest from the researc... | 0 |
Detecting the sentiment of an utterance has been dealt with in numerous publications and using different machine learning techniques. A lot of the tools were built for languages with a large number of speakers such as English, French and German. For smaller languages like Luxembourgish, well-trained and established too... | 0 |
Sentiment analysis (Pang and Lee, 2008) is used to gauge public opinion towards products, to analyze customer satisfaction, and to detect trends. With the proliferation of customer reviews, more fine-grained aspect-based sentiment analysis (ABSA) has gained in popularity, as it allows aspects of a product or service to... | 0 |
The phenomenon of unbound anaphora refers to instances where anaphoric pronouns occur outside the syntactic scopes (i.e. the c-command domain) of their quantifier antecedents. The main kinds of unbound anaphora are regular anaphora to quantifiers, quantificational subordination, and donkey anaphora, as exemplified by (... | 0 |
Word segmentation is a well-known problem in the field of Natural Language Processing (NLP) with a number of application fields including tokenization in languages such as Chinese and Japanese, speech recognition, and URL segmentation. All these well-studied cases aside, the introduction of hashtags on social media pla... | 0 |
La désambiguïsation lexicale a été appliquée à la recherche d'information avec un succès variable. Le précurseur sur cette thématique (Weiss, 1973) a été suivi par un certain nombre de travaux (Krovetz & Croft, 1992; Stokoe et al., 2003; Sanderson, 2000) , où la désambiguïsation était focalisée sur les mots dont les se... | 0 |
One of the central issues in natural language understanding research is ambiguity resolution. Since many sentences are ambiguous out of context, techniques for ambiguity resolution have been an important topic in natural language understanding. In this paper, we describe a model of ambiguity resolution implemented in D... | 0 |
Human beings perceive the world as a unified whole, not in individual sensory modalities. While traditionally different sensory models have been studied in isolation, it has been well recognized that perception operates via integration of information from multiple sensory modalities.Research in multimodal fusion aims t... | 0 |
Much research in Translation Studies indicates that translated texts have unique characteristics that set them apart from original texts (Toury, 1980; Gellerstam, 1986; Toury, 1995) . Known as translationese, translated texts (in any language) constitute a genre, or a dialect, of the target language, which reflects bot... | 0 |
New application environments such as telephone-based retrieval, car navigation systems, and mobile information retrieval, often require speech interface to conveniently process user queries. In these environments, keyboard input is inconvenient or sometimes impossible because of spatial limitation on mobile devices and... | 0 |
The Senseval-3 English Lexical Sample (ELS) task requires disambiguating 57 words, with an average of roughly 140 training examples and 70 testing examples of each word. Each example is about a paragraph of text, in which the word that is to be disambiguated is marked as the head word. The average head word has around ... | 0 |
Neural machine translation (NMT) performance often drops when training and test domains do not match and when in-domain training data is scarce (Koehn and Knowles, 2017) . Tailoring the NMT system to each domain could improve performance, but unfortunately high-quality parallel data does not exist for all domains. Doma... | 0 |
Lexical choice for open-class words has typically been regarded as a matching or classification problem. The generation system is given a semantic structure that represents an object or event, and a dictionary that represents the semantic meanings of the lexical units (Zgusta 1971 ) of the target language; it then choo... | 0 |
Semantic role labeling (SRL) is a fundamental task for many NLP applications. Given a context, SRL is aimed at identifying the semantic roles, or the set of semantic properties and relationships defined over a lexical unit (LU) or a target. The resources such as FrameNet (Baker et al., 1998; Fillmore et al., 2003) and ... | 0 |
Vector space models have become a steadily increasing, integral part of data-intensive lexical semantics over the past 20 years (cf. Turney and Pantel (2010) and Erk (2012) for two recent surveys). They have been exploited in psycholinguistic (Lund and Burgess, 1996) and computational linguistic research (Schütze, 1998... | 0 |
Clinical decision support from raw-text notes taken by clinicians about patients has proven to be a valuable alternative to state-of-the-art models built from structured EHRs. Clinical notes contain valuable information that the structured part of the EHR does not provide, and do not rely on expensive and time-consumin... | 0 |
Online discussion forums provide a rich source of data for studying people's language usage patterns. Discussion platforms take on various forms: articles on many news sites have a comment section, many websites are dedicated to question answering (www.quora.com), and other platforms let users share personal stories, n... | 0 |
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