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Argumentation is a type of discourse in which various participants make arguments, presenting some premises in support of certain conclusions, with the aim of negotiating different opinions and reaching consensus (Van Eemeren et al., 2013) . The automatic identification and evaluation of arguments require three main st... | 0 |
Document clustering is unsupervised classification of text collections into distinct groups of similar documents. It has been used in many information retrieval tasks, including data organization (Siersdorfer and Sizov, 2004) , language modeling (Liu and Croft, 2004) , and improving performances of text categorization ... | 0 |
As one of the largest multilingual LSPs, we have been offering machine translation post-editing services for many years, and our team supports more than 30 of our largest customers in the Enterprise or Regulated space with MT and postediting programs in often 30+ language pairs. When implementing machine translation fo... | 0 |
Since Chinese has no spaces between words to indicate word boundaries, Chinese word segmentation is a task to determine word boundaries between characters. In recent years, research in Chinese word segmentation has progressed significantly, with state-of-the-art performing at around 96% in precision and recall (Xue, 20... | 0 |
Dialog agents are gaining increasing prominence in daily life. These systems aim to assist users via natural language conversations, taking the form of digital assistants who help accomplish everyday tasks by interfacing with connected devices and services. A key component to understanding and enabling these task-orien... | 0 |
Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities concerned with the detection, assessment, understanding and prevention of adverse effects of drugs or any other drug-related problems. Drug name recognition (DNR) is a fundamental step in the PV pipeline, similarly to the w... | 0 |
Although child language has been the focus of much study, our understanding of first language acquisition is still limited. In attempts to measure child language development over time, several metrics have been proposed. The most commonly used metric is Mean Length of Utterance, or MLU (Brown, 1973) , which is based on... | 0 |
Predicting socio-demographic author characteristics is becoming ever more relevant with the pervasive use of user-generated content. Classifying user attributes such as age and gender is useful for a number of applications both in the public sector, where it can support the investigation of crime (in forensic linguisti... | 0 |
The state of the art in MT involves corpus-based systems developed with machine-learning methods. These methods learn from corpora the models needed for translation. A key strength of this approach is that the system is adapted specifically towards the data it is trained with.For many years, the most successful data-dr... | 0 |
Graph-structured semantic representations, e.g. Semantic Dependency Graphs (SDG; Clark et al., 2002; Ivanova et al., 2012) , Elementary Dependency Structure (EDS; Oepen and Lønning, 2006) , Abstract Meaning Representation (AMR; Banarescu et al., 2013) , Dependency-based Minimal Recursion Semantics (DMRS; Copestake, 200... | 0 |
Many great Jewish literary works of the Middle Ages were written in Judeo-Arabic, a Jewish dialect of the Arabic language family that adopts the Hebrew script as its writing system. Prominent authors include Maimonides (12th c.), Judah Halevi (11th-12th c.), and Saadia Gaon (10th c.). In this work, we develop an automa... | 0 |
In metadata-driven Digital Libraries (DL) typically three major information retrieval (IR) related di culties arise: (1) the vagueness between search and indexing terms, (2) the information overload by the amount of result records obtained by the information retrieval systems, and (3) the problem that pure term frequen... | 0 |
The JHU 2017 WMT submission consists of phrase-based systems, syntax-based systems and neural machine translation systems. In this paper we discuss features that we integrated into our system submissions. We also discuss lattice rescoring as a form of system combination of phrase-based and neural machine translation sy... | 0 |
The SAUMER system allows the user to specify a grammar for a natural language using rules and metarules rhts grammar can then be u¢,ed ~ obtain a semantic interpretation of an input sentence.The SAUMER Specification language (SSL) . which L~ a variation of definite clause gr~s (DCGs) (Pereira and Warren. 1980) . captur... | 0 |
Most current models of grammar learning assume a set of primitive linguistic categories and constraints, the learning process being modelled as category filling and rule instantiation -rather than category formation and rule creation. Arguably, distributing linguistic data over predefined categories and templates does ... | 0 |
Since 2006, Twitter has grown into a ubiquitous global social platform. Millions of users compose Twitter messages, which are known as "tweets", to express their opinions and sentiments about the world around them. These tweets turn into valuable resources for sentiment analysis, a field that focuses on analyzing the a... | 0 |
With the deregulation of the Internet and the development of ever more complex and sophisticated systems such as enterprise resource planning, user relationship management systems, and operating systems it was inevitable that a parallel requirement for more sophisticated online user assistance systems would follow. Com... | 0 |
Neural Machine Translation (NMT) (Kalchbrenner and Blunsom, 2013; Sutskever et al., 2014; Bahdanau et al., 2015) , has shown prominent performances in comparison with the conventional Phrase Based Statistical Machine Translation (PBSMT) (Koehn et al., 2003) . In NMT, a source sentence is converted into a vector represe... | 0 |
Many textual QA systems use Information Retrieval to retrieve a subset of the documents/passages from the source corpus in order to reduce the amount of text that needs to be investigated in finding the correct answers. This use of Information Retrieval (IR) plays an important role, since it imposes an upper bound on t... | 0 |
Word order and syntactic structure have a large impact on sentence meaning. Even small perturbation in word order can completely change interpretation. Consider the following related sentences. Existing datasets lack non-paraphrase pairs like (1) and (3). The Quora Question Pairs (QQP) corpus contains 400k real world p... | 0 |
Many natural language processing systems make use of syntactic representations of sentences. These representations are produced by parsers, which often produce incorrect analyses. Many of the mistakes are in coordination structures, and structures involving non-constituent coordination, such as Argument Cluster Coordin... | 0 |
Multilinguality in ontologies is nowadays demanded by institutions worldwide with a huge number of resources in different languages. One of these institutions is the FAO 1 . Within the NeOn project 2 , the FAO is currently leading a case study on fishery stocks in order to improve the interoperability of its informatio... | 0 |
Identifying the relationship between a pair of articles is an essential natural language understanding task, which is critical to news systems and search engines. For example, a news system needs to cluster various articles on the Internet reporting the same breaking news (probably in different ways of wording and narr... | 0 |
Neural network based models have been shown to achieved impressive results on various NLP tasks rivaling or in some cases surpassing traditional models, such as text classification Socher et al., 2013; Liu et al., 2015a) , semantic matching (Hu et al., 2014; Liu et al., 2016a) , parser (Chen and Manning, 2014) and mach... | 0 |
Ces dernières années ont vu le développement important de dispositifs de conversations instantanées en ligne, qui constituent un moyen pour de nombreuses entreprises et de services de fournir à leurs usagers un support technique. Les données générées par ces échanges constituent une trace linguistique d'une interaction... | 0 |
The Winograd Schema Challenge (WSC) has emerged as a popular alternative to the Turing test as a means to measure progress towards humanlike artificial intelligence (Levesque et al., 2011) . WSC problems are short passages containing a target pronoun that must be correctly resolved to one of two possible antecedents. T... | 0 |
It is reported that most of the information system users are accustomed to browse the top returned search results only (iProspect, 2004) , so they hope the top ranking documents are highly relevant. In order to meet the information need, it is necessary and significant to improve the precision of top retrieved document... | 0 |
Grammar induction is the task of inducing highlevel rules for application of grammars in spoken dialogue systems. In practice, we can extract relevant rules and the task of grammar induction reduces to finding similar rules between two strings. As these strings are not necessarily similar in surface form, what we reall... | 0 |
Depuis une dizaine d'années, la détection d'opinion et de sentiments dans les textes est devenue un sujet de recherche important en traitement automatique du langage, ainsi qu'un enjeu stratégique pour les entreprises et les institutions (Pang, Lee, 2008) . La tâche classique de ce domaine consiste à déterminer automat... | 0 |
Some people have disabilities which make it difficult for them to speak in an understandable fashion. The field of Augmentative and Alternative Communication (AAC) is concerned with developing methods to augment the communicative ability of such people. In addition to problems that make "speaking" difficult, AAC users ... | 0 |
Urdu is an Indo-Aryan language, widely spoken in South Asia. It is also spoken all over the world due to the large South Asian Diaspora. Urdu has more than 100 million speakers 1 . It is written in a modified Perso-Arabic script from right to left. It requires specific rendering to be viewed properly. Normally, it is w... | 0 |
Using points within the geometry of a vector space to represent the way words are distributed across contexts has proven to be a fruitful tactic for many language processing tasks. For example, Landauer and Dumais (1997) projected raw tf-idf scores of occurrence across a set of documents down into lower dimensional vec... | 0 |
Structured knowledge bases are not only crucial for providing various services such as information search and recommendations but also effective for non-task-oriented dialogue systems to avoid generic or dull responses (Xing et al., 2017; . However, it is impractical to presuppose a perfect knowledge base (West et al.,... | 0 |
Unsupervised morphology acquisition attempts to learn from raw corpora one or more of the following about the written morphology of a language:(1) the segmentation of the set of word types in a corpus (Creutz and Lagus, 2007) , (2) the clustering of word types in a corpus based on some notion of morphological relatedne... | 0 |
Relations such as Cause and Contrast, which we call rhetorical-semantic relations (RSRs), may be signaled in text by cue phrases like because or however which join clauses or sentences and explicitly express the relation of constituents which they connect (Example 1). In other cases the relation may be implicitly expre... | 0 |
It is commonly believed that neural network classifier performance increases as more data with labels are provided, if its capacity is properly optimized and regularized (Banko and Brill, 2001a) . In natural language processing (NLP), pretraining on large TB-scale text corpora has become the standard practice in recent... | 0 |
Data augmentation is a method to augment the training set by generating new data from the given data. For text data, basic operations including replacement, insertion, deletion, and shuffle have been adopted widely and integrated into a wide range of augmentation frameworks (Zhang et al., 2015; Wang and Yang, 2015; Xie... | 0 |
There are two key ingredients for building an NLP system:• a linguistic description • a processing model (parser, generator etc.) In the past decade, there have been diverging trends in the area of linguistic descriptions and in the area of processing models. Most large-scale linguistic descriptions make use of sorted ... | 0 |
The rapid development of online applications provides open and efficient platforms for spreading information. However, false information, including fake news and online rumors, have also been growing and spreading widely over the past several years. Vosoughi et al. (2018) shows that false news travels even faster, deep... | 0 |
This paper considers named entity recognition (NER) in text that is different from most past research on NER. Specifically, we consider Arabic Wikipedia articles with diverse topics beyond the commonly-used news domain. These data challenge past approaches in two ways:First, Arabic is a morphologically rich language (H... | 0 |
Increasing availability of data on activities of governments and politicians as well as tools suitable for analysis of large data sets allows political scientists to study previously under-researched topics. As parliament is one the major foci of attention of the public, the media and political scientists, statistical ... | 0 |
Neural autoregressive sequence modeling has become the standard approach to modeling sequences in a variety of natural language processing applications (Aharoni et al., 2019; Brown et al., 2020; Roller et al., 2020) . In this modeling paradigm, the probability of a sequence is decomposed into the product of the conditi... | 0 |
The non-canonical language use on social media introduces many difficulties for existing NLP models. For some NLP tasks, there has already been an effort to annotate enough data to train models, e.g. named entity recognition , sentiment analysis (Nakov et al., 2016) and paraphrase detection . For parsing social media t... | 0 |
The ultimate goal of Information Extraction (IE) is to construct "Information Networks" (Li et al., 2014) from unstructured texts. Most previous IE work focused on constructing entity-centric Information Networks where each node represents an entity and each edge represents a relation. We propose a novel task to constr... | 0 |
Negation is an important construct in language for reasoning over the truth of propositions (Heinemann, 2015), garnering interest from philosophy (Horn, 1989) , psycholinguistics (Zwaan, 2012) , and natural language processing (NLP) (Morante and Blanco, 2020) . While transformer language models (TLMs) (Vaswani et al., ... | 0 |
Phrase-based Statistical MT (PB-SMT) (Koehn et al., 2003) has become the predominant approach to Machine Translation in recent years. PB-SMT requires broad-coverage databases of phrase-to-phrase translation equivalents. These are commonly acquired from large volumes of automatically wordaligned sentence-parallel text c... | 0 |
Annotated anaphoric links in language corpora play an important role in teaching and research. Research roles may include investigation into the distribution of the different types of anaphors, or into the location or distance of the antecedent, and also development of rules or heuristics for anaphora resolution and th... | 0 |
The merits of combining the positive elements of the rule-based and data-driven approaches to MT are clear: a combined model has the potential to be highly accurate, robust, cost-effective to build and adaptable to different domains. Nevertheless, how best to combine these techniques into a model which retains the posi... | 0 |
In present-day Natural-Language Generation (NLG) architectures, elision rules typically form part of the Aggregation component, i.e. of the module that decides how to group conceptual messages into a sentence-a module belonging to the Microplanner (cf. Reiter & Dale, 2000, for an authoritative overview of sentence and ... | 0 |
Given the widespread studies of co-occurring words phenomenon, the term 'multi-word expression' (MWE) usually refers to a sequence of words that act as a single unit, embracing all different types of word combinations. Their study is of extreme importance for computational linguistics, where applications find notorious... | 0 |
Progress in statistical machine translation (SMT) is driven both by invention of new models and by increases in training data. To date, the largest training data are bitexts from international organizations such as the United Nations and European Parliament. Although these training data are valuable, they may be from a... | 0 |
Connectionist networks are popular for many of the same reasons as statistical techniques. They are robust and have effective learning algorithms. They also have the advantage of learning their own internal representations, so they are less constrained by the way the system designer formulates the problem. These proper... | 0 |
La plupart des modèles de langue neuronaux, tels que les modèles n-grammes, (Bengio et al., 2003) modélisent les mots par des vecteurs de valeurs réelles. Ils reposent donc sur la définition préalable d'un vocabulaire fini V, qui contiendra la liste des mots dont le modèle paramétrise la représentation. Ainsi, une tabl... | 0 |
The goal of DARPA's LORELEI (Low Resource Languages for Emergent Incidents) Program is to improve the performance of human language technologies for low-resource languages, particularly in the context of a rapidly emerging and quickly evolving situation like a natural disaster or disease outbreak. LORELEI systems will ... | 0 |
Translation exemplars, i.e. previously observed or generated translations, whose source is similar to new input, play an important role in the translation process by providing explicit information on context, exceptions, and irregularities, which are difficult to generalise. In the context of machine translation (MT), ... | 0 |
Since its first appearance some I00 years ago, the English keyboard typewriter has come to be one of the most indispensible tools of the Western society today. This is not only for the great role it plays in business offices, but also for its widespread acceptance for everyday use by the majority of the people. Indeed ... | 0 |
Discourse analysis considering relations between clauses has received increasing attention from the field, and implicit discourse relation identification is one of the most challenging problems in discourse parsing since it is purely based on textual features. Previous work has defined four widely accepted major classe... | 0 |
As natural language processing (NLP) technologies are increasingly used in essential real-world applications, such as social media, healthcare, personal assistants and law (He et al., 2020; Ahmad et al., 2020) , it is important to ensure these systems do not create unintended outcomes for end-users or offer disparate e... | 0 |
SemEval-2021 Task 1 is the task of Lexical Complexity Prediction (LCP) (Shardlow et al., 2021) . The goal of the task is to assign a target in a context a continuous value ranging between 0 and 1, where 1 indicates complete unintelligibility and 0 signals perfect familiarity as perceived by a native speaker. The task h... | 0 |
Semantic change has long been analyzed and theorized upon in historical linguistics. Its abstract and ungraspable nature made its detection a difficult task for computational semantics, despite the many tools available from various models of lexical treatment. Most extant theories are based on manual analysis of centur... | 0 |
The goal of opinion mining is to extract opinions and sentiments from text (Pang and Lee, 2008; Wilson, 2008; Liu, 2012) . With the advent of social media and the increasing amount of data available on the Web, this has become a very active area of research, with applications in summarization of customer reviews (Hu an... | 0 |
Many dialogue phenomena seem to motivate an incremental view of language processing: for example, a participant's ability to change hearer/speaker role mid-sentence to produce or interpret backchannels, or complete or continue an utterance (see e.g. Yngve, 1970; Lerner, 2004 , amongst many others). Much recent research... | 0 |
The problem of name recognition and classification has been intensively studied since 1995, when it was introduced as part of the MUC-6 Evaluation (Grishman and Sundheim, 1996) . A wide variety of machine learning methods have been applied to this problem, including Hidden Markov Models (Bikel et al. 1997) , Maximum En... | 0 |
Named Entity Recognition (NER) is an information extraction task that aims to identify named entities such as locations, organizations and person names from textual data. Frequently, NER is designed as a sequence labelling task where each word is classified into its respective label using an annotation scheme such as B... | 0 |
The gap between literary theory and computational practice is still great. Despite pleas for a more integrated approach (e.g., Ramsay, 2003) , and suggestions from literary theorists (e.g., Roque, 2012) , literary theory is more often used for illustrative or explicative purposes, rather than as a basis for computation... | 0 |
Word-sentiment associations, commonly captured in sentiment lexicons, are useful in automatic sentiment prediction (Pontiki et al., 2014; Rosenthal et al., 2014) , stance detection (Mohammad et al., 2016a; Mohammad et al., 2016b) , literary analysis (Hartner, 2013; Kleres, 2011; Mohammad, 2012) , detecting personality ... | 0 |
The past 10 years have seen significant growth in work on resource-poor languages within the Human Language Technology (HLT) research community. Whether one sees this growth as the natural outcome of successful HLT development in well-resourced languages or as an opportunity to test the generality of HLT, the shift in ... | 0 |
Data-oriented models of language processing embody the assumption that human language perception and production works with representations of concrete past language experiences, rather than with abstract grammar rules. Such models therefore maintain large corpora of linguistic representations of previously occurring ut... | 0 |
News Commentary shared task of the 6th Workshop on Asian Translation (Nakazawa et al., 2019) addresses Japanese↔Russian (Ja↔Ru) news translation. It is a very challenging task considering: (a) extremely low resource setting, the size of parallel data is only 12k parallel sentences; (b) how distant given language pair i... | 0 |
Bilingual lexica provide word-level semantic equivalence information across languages, and prove to be valuable for a range of cross-lingual natural language processing tasks (Och and Ney, 2003; Levow et al., 2005; Täckström et al., 2013, inter alia) . As building bilingual lexica from parallel corpora has been solved ... | 0 |
Although selectional preferences are a possible knowledge source in an automatic word sense disambiguation (WDS) system, they are not a panacea. One problem is coverage: Most previous work has focused on acquiring selectional preferences for verbs and applying them to disambiguate nouns occurring at subject and direct ... | 0 |
Deep learning models have been responsible for state-of-the-art performance in many tasks involving morphological generation and analysis (Devlin et al., 2019; Raffel et al., 2019; Cotterell et al., 2016; Vylomova et al., 2020) . However, to reach adequate performance, large amounts of labeled examples are usually requ... | 0 |
Depuis plusieurs années, les bases de données (BdD) deviennent inévitables pour tous les sites Web ou applications gérant d'importantes masses d'informations, comme des comptes utilisateurs (banques, agences de transport, réseaux sociaux, jeux vidéo, etc.). Internet s'est peu à peu démocratisé et vulgarisé mais les bas... | 0 |
We focus on Japanese nasty comments that are seen on the Web, particularly, on bulletin board systems (BBS). BBSs are used mainly for information-sharing, consultation, and discussion; however, unfortunately we also see some nasty comments posted on them. Recently, young people, such as primary and secondary students, ... | 0 |
Lexicalized grammar formalisms are of both theoretical and practical interest to the computational linguistics community. Such formalisms specify syntactic facts about each word of the language--in particular, the type of arguments that the word can or must take. Early mechanisms of this sort included categorial gramma... | 0 |
Reflecting the rapid growth of science, technology, and economies, new technical terms and product names have progressively been created. These new words have also been imported into different languages. There are two fundamental methods for importing foreign words into a language.In the first method-translation-the me... | 0 |
Writing is a challenge, especially for at-risk students who may lack the prerequisite writing skills required to persist in U.S. 4-year postsecondary (college) institutions (NCES, 2012) . Educators teaching postsecondary courses that require writing could benefit from a better understanding of writing achievement and i... | 0 |
Humor is one of the most interesting and puzzling research areas in the field of natural language understanding. Recently, computers have changed their roles from automatons that can only perform assigned tasks to intelligent agents that dynamically interact with people and learn to understand their users. When a compu... | 0 |
In Chinese, relative clauses cannot be connected with their head NP without De, as exemplified by (1) .The nature of De has been fully discussed in recent literature ([6] , among others). Usually we treat De as a complimentizer signifying a relative clause, which is its basic function. One phenomenon concerningRCs whic... | 0 |
This paper describes a system that was presented at the CLPsych Shared Task 2016 1 . The goal of the task is to perform automatic triage of user posts gathered from the ReachOut.com mental health online forum 2 . Posts must be classified into four categories (green, amber, red, and crisis), which indicate how urgently ... | 0 |
In evaluating the performance of dialog systems, designers face a number of complicated issues. On the one hand, dialog systems are ultimately created for the user, so usability factors such as satisfaction or likelihood of future use should be the final criteria. On the other hand, because usability factors are subjec... | 0 |
When people interact online, they often do so in the context of a conversational sequence and within the context of a community. Interactants also take stances in conversationhow they claim relationships to their talk, the entities in their talk, and their audience and interlocutors. Such stancetaking is likely affecte... | 0 |
"A proverb is to speech what salt is to food".Proverbs can be considered as descriptions of a specific situation that can be applied to a broad scope of circumstances (Gibbs, 1994) . The main characteristics of proverbs are their shortness, concreteness, originality and rhymed poetical utterances (Mieder, 1985) . They ... | 0 |
Semantic compositionality (SC) is defined as the linguistic phenomenon that the meaning of a syntactically complex unit is a function of meanings of the complex unit's constituents and their combination rule (Pelletier, 1994) . Some linguists regard SC as the fundamental truth of semantics (Pelletier, 2016) . In the fi... | 0 |
Semantic composition plays an important role in sentiment analysis of phrases and sentences. This includes detecting the scope and impact of negation in reversing a sentiment's polarity, as well as quantifying the influence of modifiers, such as degree adverbs and intensifiers, in rescaling the sentiment's intensity (M... | 0 |
Recent experiments performed by two groups of researchers at CMU have gathered data on subjects using speech recognizers in office-like environments (Rudnicky, et al., 1989 , Stern & Acero, 1989 . These experiments are presented by the authors in these proceedings. Among other things, they show that non-verbal events (... | 0 |
Depuis les années 1990, les entités nommées sont au centre de nombreux travaux en traitement de la langue naturelle écrite (résumé automatique, ontologies, . . .). Un tel développement est, en grande partie, dû à l'impulsion donnée par de multiples campagnes d'évaluation, qui ont accordé une part importante à leur iden... | 0 |
The Stanford dependency parser (De Marneffe et al., 2006) provides "deep" syntactic analysis of natural language by layering a set of hand-written post-processing rules on top of Stanford's statistical constituency parser (Klein and Manning, 2003) . Stanford dependency parses are commonly used as a semantic representat... | 0 |
Neural Machine Translation (NMT) following the encoder-decoder architecture proposed by (Kalchbrenner and Blunsom, 2013; Cho et al., 2014) has become the novel paradigm and obtained state-ofthe-art translation quality for several language pairs, such as English-to-French and English-to-German (Sutskever et al., 2014; B... | 0 |
Neural machine translation (NMT) has made great progress in the past decade. In practical applications, the need for NMT systems has expanded from individual sentences to complete documents. Therefore, document-level NMT has gradually drawn much more attention. Contextual information is particularly important for obtai... | 0 |
The task of assigning to each token its Part-of-Speech category (noun, verb, adjective, etc.) is a common Natural Language Processing (NLP) task, known as Part-of-Speech tagging (PoS-tagging). PoS-tagging precedes many other Natural Language Processing tasks, such as Text Classification, Named Entity Recognition, Senti... | 0 |
The field of machine translation (MT) has been revolutionised in the past few years by the emergence of a new approach: neural MT (NMT). NMT is a dynamic research area and we have witnessed two mainstream architectures already, the first of which is based on recurrent neural c 2020 The authors. This article is licensed... | 0 |
We consider here the problem of collaborative bootstrapping. It includes co-training (Blum and Mitchell, 1998; Collins and Singer, 1998; Nigam and Ghani, 2000) and bilingual bootstrapping (Li and Li, 2002) .Collaborative bootstrapping begins with a small number of labelled data and a large number of unlabelled data. It... | 0 |
As interest in the NLP research community grows, the number of NLP tasks, datasets, and metrics for evaluation also grows, making it increasingly difficult for researchers to keep track of the plethora of new resources. In order to tackle this problem, recently there have been a few manual efforts to summarize the stat... | 0 |
The term compositionality refers to the idea that the meaning of a complex expression is derived from (i) its structure and (ii) the meanings of its constituents (refer to (Fodor and Pylyshyn, 1988) for details). Compound verbs (henceforth CV) in Bangla are known to exhibit continuum of compositionality. Thus, some of ... | 0 |
In the last decades, great attention has been devoted to the development of computational verb lexicons in the field of natural language processing. Verbs are indeed the core of the sentence to which the other elements relate. VerbNet is a well-known outcome of this kind of effort, which has provided a comprehensive ac... | 0 |
Neural Machine Translation (NMT) has become the de facto option for industrial systems in high-resource settings (Wu et al., 2016; Hassan Awadalla et al., 2018; Crego et al., 2016) while dominating public benchmarks (Bojar et al., 2018) . However, as several works have shown, it has a notable shortcoming (among others,... | 0 |
In this paper, we describe the two-stage end-toend neural models submitted to the Shared Task on Sentence/Word/Phrase-Level Quality Estimation (QE task) at the 2017 Conference on Machine Translation (WMT17). The task aims at estimating quality scores/categories for an unseen translation without a reference translation ... | 0 |
Knowing physical locations involved in social media data helps us to understand what is happening in real life, to bridge the online and offline worlds, and to develop applications for supporting real-life demands. For example, we can monitor public health of residents (Cheng et al., 2010) , recommend local events (Yua... | 0 |
The conventional hiring process is laden with challenges like prolonged hiring, lack of interviewers, expensive labour, scheduling conflicts etc. Traditional face-to-face interviews lack the ability to scale. Recent advances in machine learning has enabled automation in the field of recruitment. Recruiters are heeding ... | 0 |
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