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Our goal is to enrich the semantic lexicon of various Indian languages by mapping it with images from the OpenClipArt library (Phillips, 2005) . India is currently experiencing a major enhancement in the digital education sector with its vision of the 'Digital India' program 1 . In this paper, we introduce an approach ... | 0 |
The slot filling task in the goal-oriented dialog system aims to identify task-related slot types in certain domains for understanding user utterances. Traditional supervised slot filling models (Liu and Lane, 2015; Liu and Lane, 2016; Goo et al., 2018; Haihong et al., 2019; He et al., 2020a; He et al., 2020b) have mad... | 0 |
Many sequence-to-sequence tasks in natural language processing are roughly monotonic in the alignment between source and target sequence, and previous work has focused on learning monotonic attention behavior either through specialized attention functions (Aharoni and Goldberg, 2017; Raffel et al., 2017; Wu and Cottere... | 0 |
Filtering irrelevant information and organizing relevant information into meaningful topical categories is indispensable and ubiquitous. For example, a data analyst tracking an emerging event would like to retrieve the documents relevant to a specific topic (category) from a large document collection in a short respons... | 0 |
Whether a word's meaning varies across contexts has become a major focus of NLP, linguistics, and social science research in recent years. For example, since the early 20th century, the word "gay" has evolved from describing an emotion to being more aligned with sexual orientation (Hamilton et al., 2016b) . Popular wor... | 0 |
This paper describes DCU's participation in the Aspect Term Polarity sub-task of the Aspect Based Sentiment Analysis task at SemEval 2014, which focuses on predicting the sentiment polarity of aspect terms for a restaurant and a laptop dataset. Given, for example, the sentence I have had so many problems with the compu... | 0 |
This paper describes the University of Alberta systems for SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (Martelli et al., 2021) . We focus on the monolingual (English) variant of the task, which is the same as the original WiC task (Pilehvar and Camacho-Collados, 2018 ). An instanc... | 0 |
Conversational AI, especially the open-domain dialog system, is an essential and challenging problem that leads to a variety of applications (Vinyals and Le, 2015; Serban et al., 2017) . Previous works introduce external background knowledge to help their systems generate more informative responses (Li et al., 2016b; D... | 0 |
As a branch of the QA task, Biomedical Question Answering (BQA) enables effectively perceiving, accessing, and understanding complex biomedical knowledge by innovative applications, which makes BQA an important QA application in the biomedical domain (Jin et al., 2021) . Such a task has recently attracted considerable ... | 0 |
A popular parsing algorithm is a cubic time chartbased dynamic programming algorithm that uses probabilistic context-free grammars (PCFGs). However, PCFGs learned from treebanks are too coarse to represent the syntactic structures of texts. To address this problem, various contexts are incorporated into the grammars th... | 0 |
The relational database stores a vast of information then support applications in various areas. API and query language normally enforce access to this data. To help retrieving information from database based on utterance, one conventional solution is applying Natural Language Understanding (NLU) model firstly to extra... | 0 |
In recent years, the statistical approach has been successfully used in natural language processing (NLP) . No matter which statistical model people use, a generative model or statistical machine learning, large corpora are always needed to train the models. For example, after the introduction of the Penn Treebank (PTB... | 0 |
The Entity Linking (EL) task consists in linking name mentions of named entities (NEs) found in a document to their corresponding entities in a reference Knowledge Base (KB). These NEs can be of type person (PER), organization (ORG), etc., and they are usually represented in the KB by a Uniform Resource Identifier (URI... | 0 |
In their attempt to describe and understand the multiple aspects that underlie the construction of sentential meaning in natural languages, philosophers and semanticists explored different conceptions and methodologies, which gave rise to a large number of theoretical approaches. A fruitful and promising way to tackle ... | 0 |
Interpreters being paid by the minute (or hour) nowadays does not seem as inconceivable as it used to be. Technically speaking, small worktime and payment units have become easier to handle, thus more probable to be applied. The question arises how to distinguish between micro and macro knowledge work and which working... | 0 |
In the fall term of 2004, I taught a new statistical NLP course at UC Berkeley which covered the central tools and machine-learning approaches of NLP. My goal in formulating this course was to create a syllabus and assignment set to teach in a relatively short time the important aspects, both practical and theoretical,... | 0 |
Recently, significant improvements have been made to neural machine translations (NMT). Regardless of whether a recurrent neural network with long short-term memory (Hochreiter and Schmidhuber, 1997 ) (LSTM-RNN) (Bahdanau et al., 2015) or a convolutional neural network (CNN) (Gehring et al., 2017) or a self-attentive t... | 0 |
Factoid QA is the task of answering natural language questions whose answer is one or a small number of entities (Voorhees and Tice, 2000) . To advance research in QA in a manner consistent with the needs of end users, it is important to have access to datasets that reflect real user information needs by covering vario... | 0 |
Spoken dialogue system (SDS) can be modelled as a decision process, in which one of the main problems researchers try to overcome is the uncertainty in tracking dialogue states due to errorprone outputs from automatic speech recognition (ASR) and spoken language understanding (SLU) components (Williams, 2012) . Recent ... | 0 |
Question generation (QG) has been traditionally linked to the education and psychology domains. However, during the last decade there has also been a growth of interest on QG in the area of computing (Rus and Graesser, 2009) thanks to advances in Artificial Intelligence and Natural Language Processing (NLP). The first ... | 0 |
Suicide is a major challenge for public health. Worldwide, suicide is the 17th leading cause of death, claiming 800,000 lives each year (World Health Organization, 2015) . In the United States alone, 43,000 Americans died from suicide in 2016 (American Foundation for Suicide Prevention, 2016), a 30-year high (Tavernise... | 0 |
Statistical natural language parsers have recently become more accurate and more widely available. As a result, they are being used in a variety of applications, such as question answering (Hermjakob, 2001 ), speech recognition (Chelba and Jelinek, 1998) , language modeling (Roark, 2001) , language generation (Soricut,... | 0 |
We describe the KIT systems for the Shared Translation Task of the ACL 2014 Ninth Workshop on Statistical Machine Translation. We participated in the English↔German and English↔French translation directions, using a phrase-based decoder with lattice input.The paper is organized as follows: the next section describes th... | 0 |
At the WMT (now Conference on Machine Translation) shared task on news translation, research groups build machine translation systems to accurately translate news data, as tested on test sets of recent news documents. The systems are clustered and ranked on their performance as judged by human annotators. The way that ... | 0 |
The emergence of social media has provided new sources of information and an immediate communication medium for people from all walks of life (Kumar et al., 2014) . In particular, Twitter is a popular microblogging service that is particularly focused on the speed and ease of publication. Everyday, nearly 300 million a... | 0 |
Social media is a popular communication channel through which users often express their opinions on products and services. In this virtual environment, both customers and organizations can find useful information. While customers can use the information to decide if they should buy a product or not, organizations can i... | 0 |
Contextual commonsense reasoning has long been considered as the core of understanding narratives (Hobbs et al., 1993; Andersen, 1973) in reading comprehension (Charniak and Shimony, 1990) . Despite the broad recognition of its importance, the research of reasoning in narrative text is limited due to the difficulty of ... | 0 |
Dependency parsing of natural language text may seem like a solved problem, at least for resourcerich languages and domains, where state-of-theart parsers attack or surpass 90% labeled attachment score (LAS) . However, certain syntactic phenomena such as coordination and ellipsis are notoriously hard and even stateof-t... | 0 |
Crowdsourcing is widely used to collect data, including cases where workers are writing new text, such as questions (Rajpurkar et al., 2016) , dialog (Budzianowski et al., 2018) , and captions (Russakovsky et al., 2015) . To avoid repetition of short labels for images, von Ahn and Dabbish (2004) proposed using a taboo ... | 0 |
Keywords or keyphrases 1 are an effective way of representing the core topic of a document, and can effectively summarize and/or help index documents. They are usually found in the form of either simplex nouns (e.g. library) or noun phrases (e.g. social issue). They have been studied in the past to provide topic-relate... | 0 |
Lexical resources are crucial in the construction of wide-coverage computational systems based on modern syntactic theories (e.g. LFG, HPSG, CCG, LTAG etc.). However, as manual construction of such lexical resources is time-consuming, errorprone, expensive and rarely ever complete, it is often the case that limitations... | 0 |
With the ever-increasing scientific publications, tracking research status from an extremely huge amount of research papers is getting harder for scholars. To solve this problem, research on automatic summarization provides an efficient way to get the highlights of articles for readers. Citation-based summarization met... | 0 |
In addition to lexicography, where their use is of paramount importance, textual definitions drawn from dictionaries or encyclopedias have been widely used in various Natural Language Processing tasks and applications. Some of the areas where the use of definitional knowledge has proved to be key in achieving state-of-... | 0 |
Question answering (QA) is an area that operates on top of search engines (such as Google, Exalead, Yahoo, etc.) in order to provide users with more accurate and elaborated responses where search engine response outputs remain punctual, difficult to understand, and sometimes incoherent. QA builds on top of search engin... | 0 |
Speech recognition grammars are used for guiding speech recognizers in many applications. However, there are a number of problems associated with writing grammars in the low-level, systemspecific formats required by speech recognizers. This work addresses these problems by generating speech recognition grammars and sem... | 0 |
A l'origine un dialecte francique mosellan, le luxembourgeois (Lëtzebuergesch), parlé par environ 400.000 locuteurs (FEHLEN, 2009) , est une langue encore peu étudiée sur le plan phonétique. A côté du contact important entre le luxembourgeois, l'allemand et le français au Grand-duché de Luxembourg, il existe de nombreu... | 0 |
Online misogynous speech has been a worldwide phenomenon spread widely across social media platforms where women are increasingly subjected to offensive content. It has been shown that women are twice as likely as men to encounter online sexual harassment and gender-based violence (Duggan, 2017) .The problem with misog... | 0 |
As gathering large text collections grows increasingly feasible for non-technical users, individuals such as journalists, marketing/communications analysts, and social scientists are accumulating vast quantities of documents in order to address key strategy or research questions. But these groups often lack the technic... | 0 |
Nous présentons les premiers résultats d'un corpus arboré pour le français parlé. Il a été réalisé dans le cadre du projet ANR Etape (resp. G. Gravier) entre 2010 et 2012. Les corpus arborés (Treebank) pour les autres langues ont une partie écrite et une partie orale : Penn Treebank (Switchboard (Meteer, 1995) ), Verbm... | 0 |
In this adjunct test, we investigate the issues and effect of transforming the MUC-4 template design automatically into an object-oriented design, with associated object-level matching conditions affecting th e overall score .An object is simply a collection of slots that all refer to one item originating in the text .... | 0 |
In recent years there has been a growing amount of work focusing on the computational modeling of language processing and acquisition, implying a cognitive and theoretical relevance both of the models as such, as well as of the language properties extracted from raw linguistic data. 1 In the computational linguistic li... | 0 |
Quality estimation (QE) for machine translation (MT) is the task of estimating the quality of a translated sentence at run-time and without access to reference translations (Specia et al., 2009) .As a quality indicator, in a typical QE setting, automatic systems have to predict either the time or the number of editing ... | 0 |
Social media is increasingly reflecting many social phenomena that previously could be studied only with traditional surveying techniques such as telephone or face-to-face interviews. Recent research has demonstrated that it can be used to track the spread of epidemics (Culotta, 2010) , monitor mass emergency situation... | 0 |
The popularity of neural machine translation systems (Kalchbrenner and Blunsom, 2013; Sutskever et al., 2014; Bahdanau et al., 2015; Wu et al., 2016) has exploded in recent years. Those systems have obtained state-of-the-art results for a wide collection of language pairs, but they often require large amounts of parall... | 0 |
This paper discusses the process of constructing a new wordnet for Old Javanese, a language written particularly in Java Island in Indonesia between 800 AD to 1500 AD. It belongs to the Western Malayo-Polynesian branch of the Austronesian language family. Despite its importance for historical and comparative linguistic... | 0 |
This paper describes the OpenNMT (Klein et al., 2017) submissions to the Workshop on Neural Generation and Translation 2020 efficiency shared task. For WNMT 2018, we explored training and optimizations of small LSTM translation models combined with a customized runtime . While this resulted in interesting decoding spee... | 0 |
Sentence classification (SC) is a fundamental and traditional task in natural language processing (NLP), which is widely used in many subareas, such as sentiment analysis (Wang et al., 2016a and question classification (Shi et al., 2016) . The central problem of SC is to understand the semantic meaning of a sentence by... | 0 |
Early prediction of mental illness over social media is a new research area potentially applicable to a wide variety of situations such as identifying people having anxiety and depression over social media (Basu and Gkoutos, 2021) . Depression is a common mental illness that involves sadness and lack of interest in day... | 0 |
People talk. Human society depends on spoken (or written) interaction. Instrumental or task-based conversation is the medium for practical activities such as service encounters (shops, doctor's appointments), information transfer (lectures), or planning and execution of business (meetings). Much daily talk does not see... | 0 |
One type of coherence modelling that has captured recent research interest is local coherence modelling, which measures the coherence of a document by examining the similarity between neighbouring text spans. The entity-based approach, in particular, considers the occurrences of noun phrase entities in a document (Barz... | 0 |
The quadratic complexity of Transformer architectures makes it prohibitive to apply large stateof-the-art pretrained models to full-length documents. To efficiently handle longer text while still maintaining the capacity of attention-based models, a long list of efficient attention variants have been proposed and many ... | 0 |
Construction is a generalization of multi-word expression (MWE), where 'lexical variables are replaceable but belong to the same semantic class, e.g., sleight of [hand/mouth/mind]' (Kopotev et al., 2016) . Constructions might be considered as sets of collocations, but they are more abstract units than collocations sinc... | 0 |
Web content extraction is the task of pulling the main textual content out of web pages while removing noise such as clutters (for e.g. HTML tags, scripts, etc.) and boilerplate contents (for e.g. navigation bar, headers, footers, etc.) (Gupta et al., 2003) . Humans can easily identify the main content based on the lay... | 0 |
Relation extraction is the task of detecting and characterizing semantic relations between entities from free text. Recent work on relation extraction has shown that supervised machine learning coupled with intelligent feature engineering or kernel design provides state-of-the-art solutions to the problem (Culotta and ... | 0 |
The rapid development of statistical machine translation (SMT) that we have seen in recent years would not have been possible without automatic metrics for measuring SMT quality. In particular, the development of BLEU (Papineni et al., 2002) revolutionized the SMT field, allowing not only to compare two systems in a wa... | 0 |
We investigate the impact of an employment of large amounts of unsupervised parallel data as training data for a statistical machine translation (SMT) system. The unsupervised parallel data is created by automatically translating monolingual source language corpora. This approach is called lightly-supervised training i... | 0 |
Machine learning algorithms learn to model patterns present in training datasets. In particular, they make predictions that directly reflect the harmful societal biases present in training datasets, such as racial bias in sports reports (Merullo et al., 2019) and political bias in news data . Such biases are rife in NL... | 0 |
Spoken dialogue is often considered to be one of the most natural means of interaction between a human and a robot. It is, however, notoriously hard to process with standard language processing technologies. Dialogue utterances are often incomplete or ungrammatical, and may contain numerous disfluencies like fillers (e... | 0 |
While a variety of dialogue models such as the neural conversational model (NCM) (Vinyals and Le, 2015) have been researched widely, such dialogue models often generate simple and dull responses due to the limitation of their ability to take dialogue context into account. It is very difficult for these models to genera... | 0 |
Despite the progress of multilingual machine translation (MMT) and the many efforts towards improving its performance for low-resource languages, African languages suffer from under-representation. For example, of the 2000 known African languages (Eberhard et al., 2020) only 17 of them are available in the FLORES 101 L... | 0 |
Over the past two decades psychologists have investigated the role that function words might play in human language acquisition. Their experiments suggest that function words play a special role in the acquisition process: children learn function words before they learn the vast bulk of the associated content words, an... | 0 |
Aspect-level sentiment analysis (ALSA) has been actively studied to understand authors' opinion on aspects from texts. For example, in a given text, "Although the space is smaller than most, it is the best service you will find in even the largest restaurants", the author's sentiment to space and service is negative an... | 0 |
Argumentative essays are among the most common essay types students are assigned to write in higher education contexts (Wingate, 2012) . In such an essay, students have to state and justify their opinion on a certain topic elicited by a specific writing prompt. In order to score argumentative essays and give formative ... | 0 |
From a scientific perspective, it is important to understand the cognitive decision-making processes of physicians. This knowledge can be useful for natural language processing systems and user-centered decision support in the medical field. Annotation schemes can be used to encode such information. With the growth of ... | 0 |
State-of-the-art machine translation techniques are still far from producing high quality translations. This drawback leads us to introduce an alternative approach to the translation problem that brings human expertise into the machine translation scenario. (Langlais et al., 2000) proposed this idea that can be illustr... | 0 |
Natural language dialog has been used in many areas, such as for call-center/routing application (Carpenter & Chu-Carroll 1998) , email routing (Walker, Fromer & Narayanan 1998) , information retrieval and database access (Androutsopoulos & Ritchie 1995) , and for telephony banking (Zadrozny et al. 1998) . In this demo... | 0 |
Neural networks have revolutionized the field of text generation, in machine translation (Sutskever et al., 2014; Neubig, 2017; Luong et al., 2015; Chen et al., 2018) , summarization (See et al., 2017) , image captioning (You et al., 2016 ) and many other applications (Goldberg, 2017) .Traditionally, text generation mo... | 0 |
Extracting instances of semantic classes is a fundamental task in natural language processing (NLP). Such a task aims to extract instances belonging to a specific category such as acquiring Tom Hanks and Al Pacino into a list containing other actors. This kind of information serves as building blocks for various NLP ta... | 0 |
Examples, analogies and class identification are used in many explanations and descriptions. Yet current text generation techniques all fail to tackle the problem of when an example, analogy or class is appropriate, what example, analogy or class is best, and exactly what the user may infer from a given example, analog... | 0 |
Natural language generation (NLG) systems are increasingly expected to be naturalistic, contentful, and situation-aware due to their popularity and pervasiveness in human life (Reiter and Dale, 2000; Mitchell et al., 2014) . This is particularly relevant in dialogue systems (Zhang et al., 2018a; Niu and Bansal, 2018) ,... | 0 |
Various products and business services are used by millions of customers each day. For the makers of these products & services, studying these customer experiences is critical to understanding customer satisfaction and making decisions about possible improvements to the products. Thanks to the advent of weblogs, online... | 0 |
We live in a day and age where social media pervades through every aspect of lives. Constant growth of social media platforms and rapid exposure to them are changing how human communication is perceived and working (Sticca and Perren, 2013) . As much as social media and the general web help its users stay connected and... | 0 |
Multi-Source Machine Translation (MSMT) Och and Ney (2001) is an approach that allows one to leverage source sentences in multiple languages to improve the translations to a target language. Typically N-way (or N-lingual) corpora are used for MSMT. N-way corpora are those in which translations of the same sentence exis... | 0 |
En génération, le module de réalisation de surface a pour fonction de produire, à partir d'une représentation conceptuelle donnée, une phrase grammaticale. Par exemple, à partir de l'entrée donnée en (1a), un réalisateur de surface pourra produire l'une des variantes listée en (1b-1k).(1) a. jean (j) aimer (e,j,m) Dans... | 0 |
Le processus de dérivation dans les grammaires d'arbres adjoints (Joshi & Schabes, 1997, TAG) produit deux arbres : l'arbre dérivé qui correspond à un arbre syntagmatique classique (voir figure 1b), et l'arbre de dérivation, qui présente par quelles opérations les arbres élémentaires de la grammaire ont été combinés po... | 0 |
In psychology, texts have been analyzed for so-called motives since the 1930s Schultheiss and Brunstein (2010a) . Implicit motives are unconscious motives, which are measurable by operant methods. Operant methods, in turn, are psychometrics, which are captured by having participants write free texts, i.e. participants ... | 0 |
In this paper we present a novel, unsupervised approach to multi-document summarization of scientific articles. While the field of multi-document summarization has achieved impressive results with collections of news articles, summarization of collections of scientific articles is a strikingly different problem. Multi-... | 0 |
Azerbaijani is one of the languages of Turkic group and these languages form one of the largest language groups (modern Turkish, Azerbaijani, Kazakh, Uzbek, Turkmen, Tatar, Kirghiz and others). Despite some theoretical research, the most of these languages are still less investigated languages (except modern Turkish [1... | 0 |
Dependency structure analysis has been recognized as a basic technique in Japanese sentence analysis, and a number of studies have been proposed for years. Japanese dependency structure is usually defined in terms of the relationship between phrasal units called 'bunsetsu' segments (hereafter "chunks~). Generally, depe... | 0 |
Judgment prediction (Kort, 1957; Ulmer, 1963; Segal, 1984; Liu et al., 2004; Liu and Hsieh, 2006) aims at automatically predicting the judgment result given a textual description of a legal case (An example is given in Figure 1 ). Recently, there has been a resurgent interest in this task due to the availability of mor... | 0 |
In the course of ongoing task-oriented expert-consultation dialogues, many occasions arise in which the expert must provide a definition. In this paper we will present a new strategy for a computer expert to use in giving definitions in a way that is most helpful to the individual user.The strategy relies on a dynamica... | 0 |
Large-scale pre-training has drawn much attention in the community of Computer Vision (CV), Natural Language Processing (NLP) and Multi-Modal (MM) due to its strong capability of generalization and efficient usage of large-scale data. However, in the existing literature, the work on vision, language and vision-language... | 0 |
Relation extraction involves discerning whether a relation exists between two entities in a sentence (often termed subject and object, respectively). Successful relation extraction is the cornerstone of applications requiring relational understanding of unstructured text on a large scale, such as question answering (Yu... | 0 |
Two main approaches exist for compiling corpora: "Big is beautiful" or "Insecurity in large collections". Text mining research commonly adopts the first approach and favors data quantity over quality. This is normally justified on the one hand by the need for large amounts of data in order to make use of statistic or s... | 0 |
Over the past several years, there has been much interest in the task of multi-document summarization. In the common Document Understanding Conference (DUC) formulation of the task, a system takes as input a document set as well as a short description of desired summary focus and outputs a word length limited summary. ... | 0 |
Open-domain Question Answering (QA) is the task of answering open-ended questions by utilizing knowledge from a large body of unstructured texts, such as Wikipedia, world-wide-web and etc. This task is challenging because researchers have to face issues in both scalability and accuracy. In the last few years, rapid pro... | 0 |
In a widely cited paper, Hearst (1992) showed that the lexico-syntactic pattern "Y such as the X" can be used to mine large text corpora for word pairs Y X : in which X is a hyponym (type) of Y. For example, if we search in a large corpus using the pattern "Y such as the X" and we find the string "bird such as the ostr... | 0 |
Spoken dialogue systems that can help users to solve complex tasks such as booking a movie ticket have become an emerging research topic in artificial intelligence and natural language processing areas. With a well-designed dialogue system as an intelligent personal assistant, people can accomplish certain tasks more e... | 0 |
Most of the research in sentiment analysis is focused on genres such as news data, customer reviews and tweets. Sentiment annotated corpus is useful to build models for the task of sentiment analysis. For these genres, annotation usually takes place at sentence and phrase level. Odia 1 , being a resource-poor language,... | 0 |
The quality of word representations in semantic models is often measured using intrinsic evaluations that capture particular types of relationships (typically semantic similarity and relatedness) between word pairs (Finkelstein et al., 2002; Schnabel et al., 2015; Tsvetkov et al., 2015, inter alia) .Whereas the notions... | 0 |
In data-driven machine translation, computation is often performed at the level of what intuition hints at being a word in segmenting languages. In the framework of statistical machine translation (Brown et al., 1990) , language resources are typically segmented into such tokens before they may be used as training data... | 0 |
Il y a un certain nombre d'idées fausses qui circulent parmi les chercheurs en TA, et freinent à notre avis les progrès dans ce domaine. La première est que la plupart des systèmes opérationnels utilisent la TA statistique, alors que la plupart (voir le Compendium (Hutchins & al. 2005 ) publié par l'EAMT) utilisent des... | 0 |
Aspect sentiment analysis is a fine-grained sentiment analysis task, which aims to identify the sentiment polarity (e.g. positive, negative, or neutral) towards a given aspect (term) in a sentence. For example, given the aspects: food and service, and a sentence of review: great food but the service is dreadful, the se... | 0 |
In the context of natural language processing (NLP), the goal of sequence labeling is to assign a categorical label to each entity word or phrase in a text sequence. It is a fundamental area that underlies a range of applications including slot filling and named entity recognition. Traditional methods use statistical m... | 0 |
Arabic is characterized by complex morphology and rich vocabulary. It is a derivational, flexional language. In addition, Arabic is an agglutinative language. In fact, most Arabic words are made up by the concatenation of certain morphemes together. An Arabic corpus will therefore have more surface forms than an Englis... | 0 |
Machine transliteration refers to the phonetic translation of names across languages by computer. With the rapid growth of the Internet data and the dramatic changes in the user demographics especially among the non-English speaking parts of the world, machine transliteration is important in many cross-lingual NLP, MT ... | 0 |
Many discourse-level NLP tasks require modeling complex interactions between multiple sentences, paragraphs or even documents. For example, analyzing opinions in online conversations (Hasan and Ng, 2013; Sridhar et al., 2015) requires modeling the dependencies between the opinions in individual posts, the disagreement ... | 0 |
This work is devoted to DeftEval challenge (Spala et al., 2020) held as part of SemEval 2020. It was concerned with the problem of definition extraction. It has recently been a popular topic. However, there were few annotated datasets and they were often small in size (Jin et al., 2013) or were limited to the cases whe... | 0 |
Event causality identification (ECI) aims to identify causal relations between events in texts, which can provide crucial clues for NLP tasks, such as logical reasoning and question answering (Girju, 2003; Oh et al., 2013 Oh et al., , 2017 . This task is usually modeled as a classification problem, i.e. determining whe... | 0 |
The main goal of this project is to convert the Dutch lexical semantic database Cornetto version 2.0 (Vossen et al., 2013) into an open source version. Cornetto is currently not distributed as open source, because a large portion of the database originates from the commercial publisher Van Dale. 2 The main task of this... | 0 |
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