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Online platforms have revolutionized the way individuals collect and share information (O'Connor et al., 2010; Lee and Ma, 2012; Bakshy et al., 2015) , but the vast bulk of online content is irrelevant or unpalatable to any given individual. A user interested in political discussion, for instance, might prefer content ... | 0 |
Classic TAG is known to offer rather limited (Becker et al., 1991) and unsatisfying ways to account for flexible word order in languages such as German. The descriptive overhead is immediately evident: Every possible relative order of cocomplements of a verb, has to be covered by an extra elementary tree. To give an ex... | 0 |
The release of the ONTONOTES coreference corpus (Pradhan et al., 2007a) and the organization of two CONLL shared tasks based on the dataset (Pradhan et al., 2012) have resulted in a substantial increase in coreference research, both in terms of quantity and in terms of quality. We expect ONTONOTES to remain a key resou... | 0 |
At multidict.net three tools are to be found, Multidict, Wordlink and Clilstore. Their development was funded by EC projects with the aim of developing and sharing tools for language learning, and thanks to this they are a freely and openly available resource. They support not only the major European languages, but als... | 0 |
Computational linguists build statistical language models for aiding in natural language processing (NLP) tasks. Computational psycholinguists build such models to aid in their study of human language processing. Errors in NLP are measured with tools like precision and recall, while errors in psycholinguistics are defi... | 0 |
Paradigmatic gaps present an interesting challenge for theories of inflectional structure and language learning. Wug tests, analogical change and children's overextensions of regular patterns demonstrate that inflectional morphology is highly productive. Yet lemmas sometimes have "missing" inflected forms. For example,... | 0 |
Thematic fit (or semantic role plausibility) is the plausibility of a noun phrase referent playing a specific semantic role (like agent or patient) in the event denoted by a verbal predicate, e.g. the plausibility that a judge sentences someone (which makes the judge the agent of the sentencing event) or that a judge i... | 0 |
Rule-based Natural Language Generation systems (Reiter and Dale, 2000) have been quite successful but they suffer from some limitations. They require extensive human effort and tend to produce fixed, repetitive outputs, which do not closely match human-like utterances. For this reason, there has been much interest rece... | 0 |
Data driven (machine learning) techniques for word sense disambiguation have always been a very active field and have attracted great attention from many researchers in the computational linguistics community. One of the usages of these methods is in the task of automatic part-of-speech tagging and that has resulted in... | 0 |
Croatian WordNet is a lexical database built through the so-called expand model (Vossen, 1998) , i.e., by translating and adapting synsets from Princeton WordNet (further PWN) into Croatian. The building of Croatian WordNet (CroWN) can roughly be divided into two major phases. The first phase consisted of the translati... | 0 |
Natural Language Processing (NLP) for Arabic is challenging due to the complexity of the language. Additionally, resources in Arabic are scarce making it difficult to achieve NLP progress at the pace of other resource-rich languages such as English (Badaro et al., 2019) . As a result, there is a need for transfer learn... | 0 |
In the last decades, usage-based models of language have captured the attention of linguistics and cognitive science (Tommasello, 2003; Bybee, 2010) . The different approaches covered by this label are based on the assumptions that linguistic knowledge is embodied in mental processing and representations that are sensi... | 0 |
Amyotrophic Lateral Sclerosis (ALS, also known as Lou Gehrig's disease) is a progressive neurological disease that destroys nerve cells and inhibits the normal voluntary motor function of the affected individual. The progression of this disease rapidly limits the patient's ability to perform normal daily tasks such as ... | 0 |
The task of automatic text summarization aims to compress a textual document to a shorter highlight while keeping salient information of the original text. In general, there are two ways to do text summarization: Extractive and Abstractive (Mani and Maybury, 2001) . Extractive approaches generate summaries by selecting... | 0 |
During years there has been a big effort to produce natural language processing tools that try to understand well written sentences, but the question is how well do these tools work to analyze the contents of SMS. For example, not even syntactic tools like stemming can bring to common stems words that have been shorten... | 0 |
Le mot que est de ces formes redoutables pour le TAL français. Non seulement peut-il recevoir plusieurs étiquettes différentes selon ses emplois (voir section 2.1), mais encore entre-t-il dans quantité de constructions syntaxiques différentes, qui correspondent à autant de valeurs sémantiques et d'instaurations de dépe... | 0 |
Depression is a common mental health condition that affects more than 300 million people globally (World Health Organization, 2017) . A major contributor to the overall global burden of disease, Major Depression was indicated as the second leading cause of years lived with disability in 2013 (Vos et al., 2015) . While ... | 0 |
Unsupervised PCFG inducers (Jin et al., 2018b) automatically bracket sentences into nested spans, and label these spans with consistent, linguistically relevant syntactic categories, which may be useful in downstream applications or linguistic research on under-resourced languages. Their success also provides evidence ... | 0 |
The Government acquires massive quantities of textual data in foreign languages in the course of intelligence operations. The Harmony program at the National Ground Intelligence Center (NGIC) collects such data. It collects data through a suite of deployable tools in the field, including the fullfeatured Deployable Har... | 0 |
The task of representing events in news stories and the way in which they are formalized, namely their linguistic expressions (event mentions), is interesting from both a theoretical and practical perspective. Event mentions can be analyzed from various aspects; two aspects that emerge as particularly interesting are t... | 0 |
Data-driven parsing has largely been dominated by Probabilistic Context-Free Grammar (PCFG). The use of PCFG is tied to the annotation principles of popular treebanks, such as the Penn Treebank (PTB) (Marcus et al., 1994) , which are used as a data source for grammar extraction. Their annotation generally relies on the... | 0 |
A major contribution of Web 2.0 is the explosive rise of user-generated content. The content has been a by-product of a class of Internet-based applications that allow users to interact with each other on the web. These applications which are highly accessible and scalable represent a class of media called social media... | 0 |
Heavily lexicalised grammars have been used in applications such as machine translation and information extraction because they can produce semantic structures which provide more information than less informed parsers. In particular, because of the structural and semantic information attached to lexicon items, these gr... | 0 |
In th is p a p e r, a p u re ly lo g ic a l a p p ro a c h to p a rt-o f-s p e e c h ta g g in g an d sh a llo w p a rs in g is | 0 |
As natural language generation systems become more complex and sophisticated, the mode of input to these systems is becoming correspondingly more difficult to specify and manage. Currently, sentence plans must be created by experts who are very knowledgeable about both linguistic theory and the characteristics of the p... | 0 |
In the field of automatic emotion detection, many contributions consider the issue of detecting presence of emotions (Liu, 2012) . The task of detecting intensity of emotion in a given text is less studied, but is relevant to many applications in fields such as e.g., brand management, public health, politics, and disas... | 0 |
According to Banarescu et al. (2013) , Abstract Meaning Representation (AMR) is a semantic meaning representation, which may be encoded as a rooted Direct Acyclic Graph (DAG) where the nodes are concepts, and the edges are relations among them. This representation explicitly details semantics information, as depicted i... | 0 |
The ability to communicate by speech is known to enhance the quality of communication, as reflected in shorter problem-solving times and general user satisfaction [2] . Recent advances in speech recognition technology [4] have made it possible to build "spoken language" systems that create the opportunity for interacti... | 0 |
Readers of news articles are often interested in what others think, what their perspectives are, and whether they can get any additional information from them. User comment sections on news web pages are often a good source for extending, presenting, and challenging their own views. On the other hand, many news provide... | 0 |
The availability of annotated linguistic corpora is crucial to develop Natural Language Processing (NLP) systems (Chiarcos, 2012; Van Son et al., 2018) . In the past couple of decades, many linguistic resources have been released, which contain different types of annotations, from morphosyntactic to semantic and discou... | 0 |
Sentiment analysis is in the area of research that perform the automatic comprehension of the subjective information from user-generated data, which helps to gain the views on certain topics. Due to the rise of social media such as micro-blogs (e.g., Twitter) and the trend of global communications, they have accelerate... | 0 |
Coreference resolution-the task of determining which textual references resolve to the same real-world entity-requires making inferences about those entities. Especially when those entities are people, coreference resolution systems run the risk of making unlicensed inferences, possibly resulting in harms either to ind... | 0 |
Online social media has become one of the most important means of communication. Unfortunately, the discourse is often laden with abusive language that can have damaging effects on social media users (Zampieri et al., 2019a) . As online abuse grows as a serious social problem, many social media platforms are employing ... | 0 |
North America and Canada represent a highly complex linguistic regions, with numerous languages and great linguistic diversity. Indigenous languages are spoken widely and are official languages in Nunavut and the Northwest Territories. Indigenous peoples are making efforts to revitalize and sustain their languages, alt... | 0 |
We present the integration of NLP-functionalities to help with the selection of contextualized usage-based examples to assist language learners and other end users that could benefit from a distributional linguistic analysis. Usagebased material, in the form of examples drawn from corpora, like the Keyword in Context (... | 0 |
Sentiment Analysis consists in finding the opinion (e.g. positive, negative, or neutral) from text documents such as movie reviews or product reviews. Opinions about movies, products, etc. can be found in web blogs, social networks, discussion forums, and so on. Companies can improve their products and services on the ... | 0 |
This work aims to develop a modelling framework in which dialogue systems (DSs) converse with user simulators (USs) about complex topics using natural language. Although the idea of joint learning of two such agents has been proposed before, this paper is the first to successfully train both agents on complex multi-dom... | 0 |
Machine Comprehension using Commonsense Knowledge is a well-researched problem in NLP. In order to simplify the task of the process, we turn this task into text classification work and use a deep learning neural network to fulfill it. The method of deep learning models used in text analysis has achieved numerous notabl... | 0 |
Linking mentions in natural language to the relevant concepts in knowledge-bases plays a key role in better understanding the meanings of expressions as well as further populating knowledge-bases with less human effort. Especially, Wikipedia has been widely used as a major target resource for linking. Most previous wor... | 0 |
Automatic text summarization is a rich field of research. For example, shared task evaluation workshops for summarization were held for more than a decade in the Document Understanding Conference (DUC), and subsequently the Text Analysis Conference (TAC). An important element of these shared tasks is the evaluation of ... | 0 |
With the rise of deep learning, neural networks have been nowadays used in the process of decision making in various domains, as different as trading, medicine and government. Ethical considerations of such decisions have led to an increasing need for interpreting neural models which is a vivid research topic in machin... | 0 |
Automatic metrics to assess the quality of machine translations have been a major enabler in improving the performance of MT systems, leading to many varied approaches to develop such metrics. Initially, most metrics judged the quality of MT hypotheses by token sequence match (cf. BLEU (Papineni et al., 2002) , NIST (D... | 0 |
Uyghur is the name of one of the Turkic languages in the Altaic language family and spoken mainly by the Uyghurs in the Xinjiang Uyghur Autonomous Region of China. We are currently developing a machine translation system based on a syntactic transfer method to translate from English into Uyghur (Kadir et al. 2004) . Ho... | 0 |
Neural methods have revolutionized the field of NLP, including the clinical domain in recent years. The amount of performance gain, however, may not always be proportional to the increased complexity and decreased transparency that their use might entail, especially in data-sparse domains and target languages. The limi... | 0 |
When tackling a problem in empirical research, a sound and reliable evaluation of competing solution approaches is a prerequisite to achieve agreement on the state-of-the-art performance. For authorship verification, the PAN series of shared tasks caters for the most important benchmarks to which new approaches refer a... | 0 |
The state of the art in computational processing of Hebrew, as described by Wintner (2003) , leaves much to be desired. Much of the infrastructure required both for practical applications and for computational linguistics research is either non-existent, lacking or proprietary. In this paper we describe work in progres... | 0 |
A metaphor is a literary figure of speech that describes a subject by asserting that it is, on some point of comparison, the same as another otherwise unrelated object. Metaphor is a type of analogy and is closely related to other rhetorical figures of speech that achieve their effects via association, comparison or re... | 0 |
La notion de similarité entre textes est très souvent utilisée dans les applications du traitement de la langue destinéesà l'exploitation de collections de documents de grande taille. Par exemple, en recherche documentaire, les documents pertinents retournés par le moteur de recherche peuvent etre définis comme les plu... | 0 |
There are now several approaches for multilingual dependency parsing, as demonstrated in the CoNLL 2006 shared task (Buchholz and Marsi, 2006) . The dependency parsing approach presented here extends the existing body of work mainly in four ways: 1. Although stepwise 1 dependency parsing has commonly been performed usi... | 0 |
The goal of the pilot Semantic Textual Similarity (STS) task at SemEval-2012 is to measure the degree of semantic equivalence between pairs of sentences. STS is fundamental to a variety of tasks and applications such as question answering (Lin and Pantel, 2001 ), text reuse detection (Clough et al., 2002) or automatic ... | 0 |
Morphological analysis is required for many NLP applications such as Spell Checkers, Text to Speech Systems, Rule Based Machine Translation, etc. Finite State Transducers (FSTs) are ideal for developing Morphological Analyzer for a language because they are computationally efficient, inherently bidirectional and can al... | 0 |
Lately, AI-based methods advanced rapidly in their capabilities leading to the tackling of ever more challenging tasks. This progress is expected to continue and to potentially culminate in general-purpose intelligence within a few decades (Müller and Bostrom, 2016) . However, current systems are designed for highly sp... | 0 |
The eXtreme Multi-label text Classification (XMC) problem aims at tagging a text input with most relevant subset of labels from an extremely large output space. Many web-related applications can be formulated as an XMC task with encouraging results, * Work done during an internship at Amazon Inc. such as finding the be... | 0 |
In traditional text classification problems, the label set is typically assumed to be fixed. However, in many real-world applications, new classes, especially more fine-grained ones will be introduced as the data volume increases. One commonly used method is to extend the existing label set to a label hierarchy by expa... | 0 |
In this paper we address a representation-efficiency tradeoff in statistical natural language processing through the use of stacked learning (Wolpert, 1992) . This tradeoff is exemplified in dependency parsing, illustrated in Fig. 1 , on which we focus in this paper:• Exact algorithms for dependency parsing (Eisner and... | 0 |
Most existing IR models score documents primarily based on various term statistics. In traditional models-from classic probabilistic models (Croft and Harper, 1979; Fuhr, 1992) , through vector space models (Salton et al., 1975; Narita and Ogawa, 2000) , to well studied statistical language models (Ponte and Croft, 200... | 0 |
In today's digital age, the amount of offensive and abusive content found online has reached unprecedented levels. Offensive content online has several detrimental effects on its victims, e.g., victims of cyberbullying are more likely to have lower self-esteem and suicidal thoughts (Vazsonyi et al., 2012) . To reduce t... | 0 |
Conventional information extraction tasks generally aim at extracting finer granularity semantic information units such as entities and relations. While such detailed information is no doubt very useful, extraction of such information also tends to be difficult especially when the mentions of the entities to be extract... | 0 |
Online encyclopedias are among the most frequently used Internet services today.One of the largest and best known online encyclopedias is Wikipedia. Wikipedia has many language versions, and articles in one language contain hyperlinks to corresponding pages in other languages. However, the coverage of different languag... | 0 |
A Clause is the minimal grammatical unit which can express a proposition. It is a sequential group of words, containing a verb or a verb group(verb and its auxiliary), and its arguments which can be explicit or implicit in nature (Ram and Devi, 2008) . This makes a clause an important unit in language grammars and emph... | 0 |
Low-resource languages present a particularly difficult challenge for natural language processing tasks. For example, supervised learning methods can provide high accuracy for part-of-speech (POS) tagging (Manning, 2011), but they perform poorly when little supervision is available. Good results in weakly-supervised ta... | 0 |
Human-computer conversation is a challenging task in Natural Language Processing (NLP). The aim of conversation models is to generate fluent and relevant responses given an input in a free format, i.e., not just in the form of a question. A large amount of available data on the Internet has sparked the shift in convers... | 0 |
In support of our research toward developing telephonebased spoken language systems, we have joined BBN, CMU, MIT, and SRI in collecting speech and language data for the ATIS (Air Travel Information Service) domain. The task of a spoken language system can be broken into three parts. First, the system must understand a... | 0 |
In a parallel corpus, automatic word alignment is to identify the translation relations between the words in a source sentence and those in a target sentence. A word-aligned parallel corpus has many applications, such as machine translation, machineaided translation, bilingual lexicography, and wordsense disambiguation... | 0 |
The process of Internationalization can be summarized as enabling a product for great experience to customers of different geographies. The experience might extend beyond the product, to other areas like consumer behaviour, purchasing habits, design tastes, response to marketing campaigns, service expectations and afte... | 0 |
In the literature on Erzya phonology, we usually find that Erzya has vowel harmony (Бондарко and Полякова 1993, 94-95; Keresztes 1990, 37; Keresztes 2011, 22-23; Bartens 1999, 66-67) . However, suffix alternations due to harmony rather suggest that Erzya has vowel-consonant harmony. To our knowledge, the question of an... | 0 |
The task of text simplification aims to reduce the complexity of text while maintaining the content (Chandrasekar and Srinivas, 1997; Carroll et al., 1998; Feng, 2008) . In this paper, we explore the sentence simplification problem: given a sentence, the goal is to produce an equivalent sentence where the vocabulary an... | 0 |
Semantic role labeling (SRL) is the task of automatically labeling predicates and arguments of a sentence with shallow semantic labels characterizing "Who did What to Whom, How, When and Where?" . These rich semantic representations are useful in many applications such as question answering (Shen and Lapata, 2007) and ... | 0 |
Open Information Extraction (OpenIE) is the task of converting unstructured text to semi-structured tuples of the format <subject; relation; object>, where these three components are textual phrases, broadly extracted from the original text . OpenIE tuples have shown utility in various downstream tasks (Mausam, 2016) l... | 0 |
Hyperpartisan news detection describes the task of given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person (Kiesel et al., 2019) . In recent years, hyperpartisan news detection, whi... | 0 |
Spoken input based user interfaces can be broadly categorized as dialogue-based interfaces and menu-selection interfaces. In dialogue-based interfaces, the system engages in a dialogue with the user in an attempt to determine the user's intention. In menu-based interfaces users traverse a tree of menus, each node of wh... | 0 |
Data availability and evaluation procedures structure research possibilities: the type and amount of training data affects the performance of existing algorithms and limits the development of new algorithms; and evaluation procedures document progress, and force research choices in a world of limited resources. The rec... | 0 |
In this paper, we report on building a special-purpose Recognizing Textual Entailment (RTE) dataset in the context of information verification in user-generated content (Mendoza et al., 2010; Qazvinian et al., 2011; Procter et al., 2013) for the PHEME project 1 . The dataset is compiled based on naturally occurring con... | 0 |
Accounting for extra-propositional aspects of meaning in text is a very active NLP research area in recent years, exploring different aspects of meaning such as factivity (Saurí and Pustejovsky, 2009) , uncertainty/hedging (Farkas et al., 2010) , committed belief (Prabhakaran et al., 2010) , and modalities (Prabhakaran... | 0 |
Quantifying the extent to which a computer system exhibits intelligent behavior is a longstanding problem in AI (Levesque, 2013) . Today, the standard paradigm is to measure average error across a held-out test set. However, models can succeed in this paradigm by recognizing patterns that happen to be predictive on mos... | 0 |
This article presents an efficient, implemented approach to cross-linguistic parsing based on Government Binding (GB) Theory (Chomsky 1986 ) and followers. One of the drawbacks to alternative GB-based parsing approaches is that they generally adopt a filter-based paradigm. These approaches typically generate all possib... | 0 |
The goal of morphological segmentation is to segment words into morphemes, the basic syntactic/semantic units. This is a key subtask in many NLP applications, including machine translation, speech recognition and question answering. Past approaches include rule-based morphological analyzers (Buckwalter, 2004) and super... | 0 |
Investing in individual companies carries a high risk to investors, as stock prices can move in highly unpredictable ways. A popular alternative is to reduce this idiosyncratic risk by instead investing in funds that track the performance of a particular index (i.e. weighted set of companies). While most indices have t... | 0 |
It is widely acknowledged to-day that machine translation (MT) requires lexical databases, which need to be multilingual on the one hand, and language-oriented on the other. The creation of a multilingual database is a challenging and costly process. It has to provide proper mapping across languages efficiently and eco... | 0 |
Natural language processing applications have benefited remarkably form language modeling based contextualized word representations, including CoVe (McCann et al., 2017) , ELMo (Peters et al., 2018) and BERT (Devlin et al., 2019) , inter alia. Contrary to standard "static" word embeddings like word2vec (Mikolov et al.,... | 0 |
SemEval 2015 introduced a new subtask for the clinical text analysis track focusing on disorder mention attribute detection. These attributes describe the relevant information extracted from the textual context of the given disease mention, such as the severity or body location of the disease. The attributes were group... | 0 |
Linguistic linked open data (Chiarcos et al., 2013) is the idea and movement of publishing linguistic resources according to the linked data principles (Bizer et al., 2009) . A prerequisite for releasing such data is to identify semantically corresponding elements in distinct datasets. We describe our work on linking t... | 0 |
Given a pair of words, classifying the type of lexical-semantic relation that could hold between them may have a range of applications. In particular, discovering typed lexical-semantic relation instances is vital in building a new lexical-semantic resource, as well as for populating an existing lexical-semantic resour... | 0 |
The growth of e-commerce has contributed to the proliferation of digital text, particularly usergenerated text (reviews, Q&As, discussions), which often contain useful information for improving the services and products on the web. Enterprises increasingly adopt text mining technologies to extract, analyze, and summari... | 0 |
It is commonly believed in many psycholinguistics studies [Pinker, 1984; Wexler & Culicover, 1980 ] that extra input (in addition to raw sentences) is necessary for human language learners. Most existing computational natural language acquisition models also assumed various kinds of the extra input (e.g. semantic assoc... | 0 |
Frame-semantic parsing is the task of automatically finding semantically salient targets in text, disambiguating the targets by assigning a sense (frame) to them, identifying their arguments, and labeling these arguments with appropriate roles. The FRAMENET 1.5 lexicon 1 provides a fixed repository of semantic frames a... | 0 |
Sequence prediction is a problem that involves using historical sequence data (i.e. context) to predict the next symbol or symbols in the sequence. Weighted Finite-state Automata (WFA) and Recurrent Neural Networks (RNNs) provide a general framework for the representation of functions that map strings (i.e. sequential ... | 0 |
Named entity recognition is an essential lower-level task (Ma and Hovy, 2016) in natural language processing (NLP), used to extract and categorize naming entities into a predefined set of classes such as person, location, organization (Sang and De Meulder, 2003) , numeral and temporal entities (dos Santos et al., 2015)... | 0 |
Most of the state-of-the-art Question Answering (QA) systems serve the needs of answering factual questions such as "When was James Dean born?" and "Who won the Nobel Peace Prize in 1991?" However, in addition to facts, people would also like to know about others' opinions, thoughts, and feelings toward some specific t... | 0 |
Semantic matching of two text sequences is crucial among a wide range of NLP problems, such as question answering (Nakov et al., 2017; Wang and Jiang, 2017) or semantic textual similarity (Cer et al., 2017) . Due to the ubiquity of applications, it is crucial to study how to obtain re-usable text matching models that t... | 0 |
In recent years, the statistical approach to machine translation has gained a lot of attention from both the scientific and the commercial perspective. This has basically been a consequence of the increasing availability of bilingual training material as well as the increasing storage and processing capabilities of cur... | 0 |
One of the main challenges in statistical machine translation (SMT) is the scarcity of parallel data for many language pairs especially when the source and target languages are morphologically rich. A common SMT solution to the lack of parallel data is to pivot the translation through a third language (called pivot or ... | 0 |
Recent research in computational semantics has increasingly made use of vector space representations of words in combination with deep neural network classifiers. This recent trend builds on the earlier successes of such representations and classifiers for morphological and syntactic NLP tasks , and now also includes s... | 0 |
Neural network-based dependency parsers have typically relied on combination of raw features, as represented by their dense vector embeddings to represent features of a sentence as well as the parser state (Chen and Manning, 2014; Weiss et al., 2015; Andor et al., 2016; Zhou et al., 2015) . On the other hand, there has... | 0 |
Language processing technologies have made dramatic strides, achieving sufficiently strong performance on tasks, ranging from text-to-speech transcription (Stolcke and Droppo, 2017) to machine translation (Läubli et al., 2018) , to support increasingly broad deployment in commercial applications. However, these accompl... | 0 |
Metaphor has traditionally been viewed as an artistic device that lends vividness and distinction to its author's style. This view was first challenged by Lakoff and Johnson (1980) , who claimed that it is a productive phenomenon that operates at the level of mental processes. Humans often use metaphor to describe abst... | 0 |
The state-of-the-art Machine Translation (MT) systems are statistical, requiring large amounts of parallel corpora. Such corpora needs to be carefully created by language experts or speakers, which makes building MT systems feasible only for those language pairs with sufficient public interest or financial support. Wit... | 0 |
Sentiment classification is one of the most widely studied problems in natural language processing, partly since it is a complex problem from a linguistic point of view, and partly since it has huge commercial value for enterprises attempting to understand user behaviour. Online user review datasets have contributed si... | 0 |
Translation of user generated content (UGC) such as user reviews is becoming common on multilingual websites which sell products and services such as amazon.com or booking.com. In this context, sentiment preservation in automatic machine translation (these days usually neural machine translation (NMT) output) is of gre... | 0 |
Lexical simplification is the task to find and substitute a complex word or phrase in a sentence with its simpler synonymous expression. We define complex word as a word that has lexical and subjective difficulty in a sentence. It can help in reading comprehension for children and language learners (De Belder and Moens... | 0 |
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