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This paper describes the machine translation system employed by SAS Institute Inc in the 1 st Workshop on Asian Translation. We participate in two subtasks in this year's WAT evaluation campaign:1) Chinese to Japanese; 2) English to Japanese. We apply MOSES toolkit as the baseline system.The sentence structure of Japan... | 0 |
One of the key ingredients that has contributed to the steady improvement in speech recognition technology in recent years is the availability of large speech corpora [1, 3, 7, 8] . With the help of these corpora, researchers have been able to develop recognition systems and obtain reliable estimates of system paramete... | 0 |
In recent years there has been an immense interest in representing words as low-dimensional continuous real-vectors, namely word embeddings. Word embeddings aim to capture lexico-semantic information such that regularities in the vocabulary are topologically represented in a Euclidean space. Such word embeddings have a... | 0 |
Conditional Random Fields (CRFs) (Lafferty et al., 2001; ) constitute a widely-used and effective approach for supervised structure learning tasks involving the mapping between complex objects such as strings and trees. An important property of CRFs is their ability to handle large and redundant feature sets and to int... | 0 |
Nearly two decades ago at ACL'80, Professor Ben Shneiderman challenged the field of natural language processing as follows:In constructing computer systems which mimic rather than serve people, the developer may miss opportunities for applying the unique and powerful features of a computer: extreme speed, capacity to r... | 0 |
In this paper we present the work done by AMEX AI Labs on the structured sentiment analysis monolingual task at SemEval-2022 (Barnes et al., 2022) . Structured sentiment analysis (SSA) focuses on performing fine grained analysis and extracting opinion tuples from a given input text (Barnes et al., 2021) . An example is... | 0 |
The best results for every type of semantic processing task are currently obtained by supervised corpus-based approaches. This means that manually annotated data is required to learn probabilistic models from the data. This poses a major obstacle to developing semantic processors whenever there is not manually annotate... | 0 |
According to Lobzhanidze et al. (2013) , globalization and the increased use of social networks has made it possible for news and events related information to be propagated in a much faster manner to every part of the world. It is in this context that event analysis is the most relevant since, as Valkanas and Gunopulo... | 0 |
The considerable development of information and communication technology has fundamentally changed the way we access knowledge. To deal with the huge volumes of information, constantly increasing, efficient and robust technologies are needed. In this context, named entities (persons, places, organizations, dates ...) a... | 0 |
As neural machine translation models become heavier and heavier (Vaswani et al., 2017) , we have to resort to model compress techniques (e.g., knowledge distillation (Hinton et al., 2015; Kim and Rush, 2016) ) to deploy smaller models in devices with limited resources, such as mobile phones. However, a practical challe... | 0 |
Communication through language can be modeled under Shannon's classic communication framework (Shannon, 1948) . Under this perspective, linguistic utterances are codes-which need to be decoded by a receiver (listener) who is interested in the message (meaning) they encode. Famously, Zipf (1949) posited that language us... | 0 |
Word alignment is one of the basic tasks in multilingual Natural Language Processing (NLP) and is used to learn bilingual dictionaries, to train statistical machine translation (SMT) systems (Koehn, 2010) , to filter out noise from translation memories (Pham et al., 2018) or in quality estimation applications (Specia e... | 0 |
Generative models and especially Generative Adversarial Networks (GANs) have been received much attention in the last few years. However, the evaluation of generated samples by these models is challenging. Although some studies have recently focused on introducing measures like Inception * These authors contributed equ... | 0 |
Predictive models of spoken dialogue system (SDS) performance are an important tool for researchers and practitioners in the SDS domain. These models offer insights on what factors are important for the success of a SDS and allow researchers to assess the performance of future system improvements without running additi... | 0 |
Sentiment analysis is a task to identify the emotion conveyed by written language (Balahur et al., 2011; Lee et al., 2018) . With the popularization of the Internet and instant message applications, text has become one of the most familiar media by which people express their ideas and communicate with each other. Autom... | 0 |
This article concerns adapting the Składnica treebank to the valence dictionary Walenty. Składnica predates Walenty, so initially the treebank was based on the valence dictionary of Świdziński (1994) . Walenty surpasses this dictionary both in size and the number of linguistic phenomena being represented. Therefore, de... | 0 |
According to a study by FX Networks, in U.S., the total number of ongoing scripted TV series hit a new high of 409 on broadcast, cable, and streaming in 2015 1 . Such a large number indicates there are more shows than anyone can realistically watch. To attract prospective audiences as well as help current viewers recal... | 0 |
Increasing access to massive data streams is useful only if it is equipped with proper tools to discover meaningful patterns. Topic models are capable of learning low-dimensional latent structures from groups of discrete observations, while being flexibly applicable to a wide range of modalities without human annotatio... | 0 |
Crosslingual representation learning aims to derive embeddings for words (or sentences) from multiple languages that can be projected into a shared vector space (Conneau et al., 2018; Schuster et al., 2019b; Conneau and Lample, 2019) . One important application of crosslingual embeddings has been found for transferring... | 0 |
Until recent years, generative models were the most common approach for many NLP tasks. Recently, there is a growing interest on discriminative models in the NLP community, and these models were shown to be successful for different tasks (Lafferty et al., 2001; Ratnaparkhi, 1999; Collins, 2000) . Discriminative models ... | 0 |
Many NLP applications analyze a piece of text at multiple levels. For example, a product review might be analyzed for whether it is informative overall; its paragraphs might be analyzed for whether they are relevant to certain aspect of the product; or its words might be analyzed for whether they express intense emotio... | 0 |
Sentiment analysis and emotion recognition, as two closely related subfields of affective computing, play a key role in the advancement of artificial intelligence (Cambria et al., 2017) . However, the complexity and ambiguity of natural language constitutes a wide range of challenges for computational systems.In the pa... | 0 |
In the late 1980s and early 1990s, many grammar engineering environments were developed to support the specification of large computational grammars for natural language. One may, for instance, cite XLE (Kaplan and Newman 1997) for specifying Lexical-Functional Grammars (LFG), LKB (Copestake and Flickinger 2000) for sp... | 0 |
The purpose of this article is to develop an algorithm for computing the probability that a stochastic context-free grammar (SCFG) (that is, a grammar whose production rules have attached to them a probability of being used) generates an arbitrary initial substring of terminals. Thus, we treat the same problem recently... | 0 |
En 2006 paraissait avec Antidote RX 1 le premier dictionnaire électronique grand public de cooccurrences 2 du français (Charest et coll., 2007) . Ce dictionnaire a été élaboré en utilisant l'analyseur syntaxique d'Antidote pour extraire, d'un corpus de 500 millions de mots, 17 millions de paires de mots différentes lié... | 0 |
Japanese relative clause constructions have the general structure [[S] [NP] ], and constitute a noun phrase. We will term the modifying S the "relative clause", the modified NP the "head NP", and the overall NP a "relative clause construction" or RCC. Example RCCs are: 1 (1) kinō yesterday katta bought bōsi hat "the ha... | 0 |
By shaping investors' perceptions and assessments of companies, financial news has significant impacts on the stock market (Engle and Ng, 1993; Tetlock, 2007) . News-based stock prediction models are thus developed to automatically discover signals of stock market movements from the countless news articles that generat... | 0 |
This paper reports on a system (SPINOZA VU) for timeline extraction developed at the CLTL Lab of the VU Amsterdam in the context of the SemEval 2015 Task 4: Cross Document TimeLines. In this task, a timeline is defined as a set of chronologically anchored and ordered events extracted from a corpus spanning over a (larg... | 0 |
Understanding the "transcription challenge" is a prerequisite to designing effective solutions, minimizing bottlenecks (Himmelmann, 2018) . We must face realities such as the lack of a good lexicon, the short supply of transcribers, and the difficulty of engaging people in arduous work. Sparse transcription is an appro... | 0 |
English has both comparative construction (1-a) and experiential perfect (1-b) sentence, which are marked by different morphemes.(1) a. Mary is taller than Peter. (Comparative) b. Mary had been to England. (Experiential perfect)Cantonese has these two constructions too, only that it uses the same morpheme gwo3 to mark ... | 0 |
Les textes du domaine médical sont une source d'information précieuse dont l'analyse automatique peut aider la recherche et le traitement des patients. Cependant, leur nature non structurée fait de leur analyse automatique est un défi, amplifié par la technicité et la spécificité du langage employé. Cette difficulté es... | 0 |
KID (Knowledge-based Interface to Databases) is a Japanese-language database interface (Izumida, 84) . KID has the following four features.Natural language sentences employ a wide variety of expressions. A parser must always be extended to understand new sentences.A parser which can understand one set of sentences is o... | 0 |
Our team participated to the FinSBD-2 Shared Task dedicated to Sentence Boundary Detection in Financial Prospectuses. The task aims at identifying sentences, ordered lists, unordered lists, and list items in PDF Documents. It also aims at recovering the hierarchical structure of embedded lists. It was our first partici... | 0 |
The problem of generating a well-formed naturallanguage expression from an encoding of its meaning possesses certain properties which distinguish it from the converse problem of recovering a meaning encoding from a given natural-language expression. In previous work (Shieber, 1988) , however, one of us attempted to cha... | 0 |
Suggestion mining can be defined as the extraction of suggestions from unstructured text, where the term "suggestions" refers to the expressions of tips, advice, recommendations etc (Negi et al., 2019) . These suggestions largely express positive and negative sentiments towards a given entity, but also tend to contain ... | 0 |
Sarcasm is a sophisticated form of communication in which speakers convey their message in an indirect way. It is defined in the Merriam-Webster dictionary (Merriam-Webster, 1983) as the use of words that mean the opposite of what one would really want to say in order to insult someone, to show irritation, or to be fun... | 0 |
Large neural networks have a notorious capacity to memorize training data (Zhang et al., 2016) , but their high accuracy on many NLP tasks shows that they nonetheless generalize. One apparent explanation for their performance is that they learn linguistic generalizations even without explicit supervision for those gene... | 0 |
In linguistic communication it is sometimes necessary to refer to features of language, such as orthography, vocabulary, structure, pragmatics, or meaning. Metalanguage enables a speaker to select a linguistically-relevant referent over (or in addition to) other typical referents (Audi, 1995) . Metalanguage is illustra... | 0 |
Substantial research effort has been invested in recent decades into the computational study and automatic processing of multi-party conversation. Whereas sociolinguists might argue that multiparty settings provide for the most natural form of conversation, and that dialogue and monologue are merely degenerate cases (J... | 0 |
Dependency parsing has greatly benefited from neural network-based approaches. While these approaches simplify the parsing architecture and eliminate the need for hand-crafted feature engineering (Chen and Manning, 2014; Dyer et al., 2015; Kiperwasser and Goldberg, 2016; Kulmizev et al., 2019) , their performance has b... | 0 |
Temporal resolution is the task of mapping from a textual phrase describing a potentially complex time, date, or duration to a normalized (grounded) temporal representation. For example, possibly complex phrases such as the week before last are often more useful in their grounded form -e.g., January 1 -January 7.The do... | 0 |
The first stage in training a machine translation system is typically that of aligning bilingual text. The quality of alignments is in that case of vital importance to the quality of the induced translation rules used by the system in subsequent stages. In string-based statistical machine translation, the alignment spa... | 0 |
In this paper we introduce a toolbox that allows for both parsing and generation with TAG. This toolbox combines existing software and aims at facilitating grammar development, More precisely, this toolbox includes 1 :• XMG: a grammar compiler which supports the generation of a TAG from a factorised TAG (Crabbé and Duc... | 0 |
Parallel sentences provide semantically similar information which can vary on a given dimension. Typically, parallel sentences are collected in two languages and correspond to mutual translations. In the general language, the Europarl (Koehn, 2005) corpus provides such sentences in several pairs of languages. Yet, the ... | 0 |
Microblogging environments, which allow users to post short messages, have gained increased popularity in the last decade. Twitter, which is one of the most popular microblogging platforms, has become an interesting platform for exchanging ideas, following recent developments and trends, or discussing any possible topi... | 0 |
The important aspect as far as the financial news is the variability and the impact which it causes. In the information retrieval process, causality is an essential and well-known topic. Several NLP methods can be used to find the relationship between financial data and its effect. The main focus of this work is to com... | 0 |
WordNet thesaurus is one of the popular language resources for natural language processing (Fellbaum, 1998) . The projects for creating WordNet-like resources have been initiated for many languages in the world (Vossen, 1998; Bond and Paik, 2012) . Other thesaurus models are rarely discussed, created and used in NLP.In... | 0 |
Compound verbs in Korean pose interesting problems for morphosytax and lexical semantics , in that their distribution is constrained by the interaction between morphology and syntax, which is more or less predictable from meaning. C-H Lee (2006: 129) discusses four types of compound verbs in Korean.(1) Compound verbs i... | 0 |
The outbreak of the SARS-CoV-2 virus in December of 2019 and its evolution to the COVID-19 pandemic have had many devastating consequences in society. Restaurants have been among the hardesthit businesses during the pandemic. 1 Yelp data (as of September 2020) shows that out of the 32,109 restaurant closures in the U.S... | 0 |
Recent advances in conditional text generation and the availability of large-scale datasets have given rise to models which generate highly fluent abstractive summaries Zhang et al., 2019) . However, studies indicate that such models are susceptible to generating factually inconsistent outputs, i.e., where the content ... | 0 |
Motivation and Problem. An important aspect of language understanding is the ability to produce a concise and fluent summary of stories, dialogues and other textual contents. Automatic text summarization is a long-standing topic in natural language processing (Nenkova and McKeown, 2012; Dey and Das, 2020) , with numero... | 0 |
The last few years have seen an enormous growth in the use of social networking platforms such as Twitter in the Arab World. A study prepared and published by Semiocast in 2012 has revealed that Arabic was the fastest growing language on Twitter in 2011. People post about their lives, share opinions on a variety of top... | 0 |
The number of scientific publications has increased dramatically in the past few years. For example, PubMed 1 , a repository of biomedical papers, now indexes more than one million publications per year, for a total of over 29 million publications processed to date 2 .Given this vast amount of information, it is clear ... | 0 |
Named Entity Recognition (NER) is an important tool in almost all Natural Language Processing (NLP) application areas. Proper identification and classification of named entities are very crucial and pose a very big challenge to the NLP researchers. The level of ambiguity in named entity recognition (NER) makes it diffi... | 0 |
Statistical n-gram LMs have been successfully used for speech recognition and many other applications. They suffer from insufficiencies of training data and long-distance information, which limit the model generalization (Chien, 2006) . The data sparseness problem is usually solved by backoff smoothing using lower-orde... | 0 |
The Supreme Court of the United States (SCOTUS), the highest court in the American judiciary, makes decisions with far-reaching effects. In a typical case, there are four participating parties: petitioners and respondents who file briefs arguing the merits of their sides of a case ("merits briefs"); third-party entitie... | 0 |
The allusiveness of human languages, in addition to being quite convenient in social life, justifies the use of variable amounts of i n t e 1 -1 i g e n c e in processing a sentencer according to the number of reasoning steps leading to a position where a satisfactory reaction be-,14 comes possible, like "to redefine '... | 0 |
Argumentative text is rich, multidimensional, and fine-grained, consisting of (among others): a range of (explicit and implicit) discourse relations between statements in the corpus, including indicators for conclusions and premises; speech acts and propositional attitudes; contrasting sentiment terminology; and domain... | 0 |
Labelled data for NLP tasks will always be in short supply. Thus, a statistical parser trained with labelled data alone will always be troubled by unseen events-primarily when parsing out-ofdomain data, or when faced with rare events from in-domain data. Thus, a major focus of current work is the use of cheap, abundant... | 0 |
In this paper, we present details of our participation in the SemEval 2017 Task 10, Scien-ceIE (Augenstein et al., 2017) . Named Entity Recognition (NER) is one of the major challenges in Natural Language Processing (NLP) and text mining. The interesting entity types in NER tasks vary from communities and corpora. In g... | 0 |
There are a lot of ready-to-use parallel corpora for training machine translation systems, however, most of them are in written languages such as web crawl, news-commentary 1 , patents (Goto et al., 2011) , scientific papers (Nakazawa et al., 2016) and so on. Even though some of the parallel corpora are in spoken langu... | 0 |
Text classification is a well-studied problem in machine learning, natural language processing, and information retrieval. To build a text classifier, a set of training documents is first labeled with predefined classes. Then, a supervised machine learning algorithm (e.g., Support Vector Machines (SVM), naïve Bayesian ... | 0 |
Metaphor enriches our communication with a more diverse imagery and provides an important mechanism for reasoning about concepts. At the same time, it is also a very common linguistic device that has long become a part of our everyday language. Metaphors arise through systematic associations between distinct, and seemi... | 0 |
Natural disasters are a major cause of loss and damage to both lives and properties around the world. Many disasters impact regions and populations with little warning which is made worse by the projected impacts of climate change and increasing urbanization of the world's population. For these reasons, it is important... | 0 |
Review mining and summarization aims to extract users' opinions towards specific products from reviews and provide an easy-to-understand summary of those opinions for potential buyers or manufacture companies. The task of mining reviews usually comprises two subtasks: product features extraction and summary generation.... | 0 |
Aspect-level sentiment classification is an important task in fine-grained sentiment analysis (Pang and Lee, 2008) . Given a sentence and an opinion target (also called aspect expression) occurring in the sentence, the task aims to determine the sentiment polarity of the sentence towards the opinion target. An opinion ... | 0 |
Linguistic communication can be viewed from an information theoretic standpoint as communication via a noisy channel. If humans are approximately rational in their communications and the noisy channel model is appropriate, then we expect to see communication follow an approximately constant rate of information flow. Th... | 0 |
Automated deception detection is a challenging task (DePaulo, Charlton, Cooper, Lindsay, and Muhlenbruck, 1997) , only recently proven feasible with natural language processing and machine learning techniques (Bachenko, Fitzpatrick, and Schonwetter, 2008; Fuller, Biros, and Wilson, 2009; Hancock, Curry, Goorha, and Woo... | 0 |
The most authoritative evidence regarding the efficacy of medical treatments is contained in papers describing results from randomized control trials (RCTs) (Byar et al., 1976) . Evidence-based approaches to deciding standards of care require effective access to this literature, which may entail searching for informati... | 0 |
The abundance of information in the present day, mostly in the form of written and spoken languages, has inevitably deepened the information divide among the people with different backgrounds. In this paper, we address the problems of automatically converting information in natural language to one in sign language, so ... | 0 |
This paper is a brief introduction to a framework we have developed for sentiment inference . Overall, the goal of this work is to make progress toward a deeper automatic interpretation of opinionated language by developing computational models for the representation and interpretation of opinion implicature (i.e., opi... | 0 |
Increasing computational power along with the design and development of large and sophisticated models that can take advantage of enormous corpora has drastically advanced NLP. For many tasks, finetuning pretrained transformer-based language models (Vaswani et al., 2017; Devlin et al., 2019; Radford et al., 2018) has i... | 0 |
Comparative cross-linguistic research on the quantitative properties of natural languages has typically focused on measures that can be extracted from unannotated or shallowly annotated text. For example, probably the most intensively studied quantitative properties of language are Zipf's findings about the power law d... | 0 |
Neural NLP models often operate on the subword level, which requires language-specific tokenizers (Koehn et al., 2007; Adler and Elhadad, 2006) and subword induction algorithms, such as BPE (Sennrich et al., 2016; Kudo, 2018) . Instead, working at the byte level by representing each character as a variable number of Un... | 0 |
Our research on translation of ontology vocabularies is motivated by the challenge of translating domainspecific terms with restricted or no additional textual context that in other cases can be used for translation improvement. For our experiment we started by translating financial terms with baseline systems trained ... | 0 |
Probabilistic context-free grammars (PCFGs) underlie most high-performance parsers in one way or another (Collins, 1999; Charniak, 2000; Charniak and Johnson, 2005) . However, as demonstrated in Charniak (1996) and Klein and Manning (2003) , a PCFG which simply takes the empirical rules and probabilities off of a treeb... | 0 |
In the year 2000 native English speakers became outnumbered by native users of other languages in the Internet population. Since then the trend has continued and in September 2002 the others comprised already over 63 % of the population [GlobalReach 2002] . The linguistic diversity is huge among the population. Even wi... | 0 |
Traditionally, training data for machine learning-based applications are collected amass, using a specific annotation tool. There are a number of issues regarding this approach of data collection. Most importantly, if the behavior of the target application changes over time, this makes the training data outdated and ob... | 0 |
In systematic biology, protein-protein interaction (PPI) is an important subject that aims at exploring the role of intermolecular interactions, which is crucial for reconstructing molecular networks in cells (Mori, 2004) . A widely-used information source regarding PPI is PubMed, which contains over 27 million researc... | 0 |
From the initial word-based translation models [1] , research on statistical machine translation has been strongly boosted. At the end of the last decade the use of context in the translation model (phrase-based approach) lead to a clear improvement in translation quality ( [2] , [3] , [4] ). Nowadays the introduction ... | 0 |
Our MARIE project has been investigating information retrieval of multimedia data using a new idea: putting primary emphasis on caption processing. Although content analysis methods such as substring searching for text media and shape matching for picture media can obviate captions, content analysis usually requires un... | 0 |
Relation extraction is the task of tagging semantic relations between pairs of entities from free text. Recently, distant supervision has emerged as an important technique for relation extraction and has attracted increasing attention because of its effective use of readily available databases (Mintz et al., 2009; Bune... | 0 |
Resolving NLP tasks by deep neural networks has been proven to be effective, and it is also important to investigate how the models make such a decision. For example, only providing the prediction to medical tasks may not be enough, and providing the associated reasons is more crucial for the practical applications. Th... | 0 |
Sentiment analysis has recently become one of the growing areas of research related to text mining and natural language processing. Due to the increasing availability of online resources and popularity of rich and fast resources for opinion sharing like news, online review sites and personal blogs, several parties such... | 0 |
The presented system is part of a broader work on defining a normative description of Votic morphology to be used in corpus planning, language teaching and language revitalization efforts.There was no literature developed for Votic in the 1930s (unlike for Karelian, Veps, Ingrian and other languages in the Soviet Union... | 0 |
Semantic parsing is the task of mapping natural language utterances to machine interpretable meaning representations. Despite differences in the choice of meaning representation and model structure, most existing work conceptualizes semantic parsing following two main approaches. Under the first approach, an utterance ... | 0 |
Dictionaries are important linguistic resources for learning and diffusing natural languages. They can be used for several purposes such as to find the meaning, the translation, the synonym or antonym of a word. Moreover, they can help to check the spelling or to find out grammatical information about a word.For ages, ... | 0 |
TTR [2, 3] is a type theory with records which leads to a view of meaning which is tightly linked to perception and classification. An agent makes judgements that an object a (an individual or a situation) is of type T (written as a : T ). The notion of truth is related to such judgements. A type T is "true" just in ca... | 0 |
Nearly all of Natural Language Processing (NLP) depends on annotated examples, either for training systems or for evaluating their quality. Typically, annotations are created by linguistic experts or trained annotators. However, such effort is often very time-and cost-intensive, and as a result creating large-scale ann... | 0 |
In the last few years, the growing ubiquity of Internet memes on social media platforms such as Facebook, Instagram, and Twitter has become a topic of immense interest. Memes are one of the most typed English words Sonnad (2018) in recent times which are often derived from our prior social and cultural experiences such... | 0 |
Language model (LM) measures the fluency of translation outputs (Brown et al., 1993) , and plays an important role in statistical machine translation (SMT). Traditional language model predicts the next word conditioning only on the preceding n−1 words, thus ignores syntactic structures in the sentence and global inform... | 0 |
Analyzing and generating natural language texts requires the capturing of two important aspects of language: what is said and how it is said. In the literature, much more attention has been paid to studies on what is said. However, recently, capturing how it is said, such as stylistic variations, has also proven to be ... | 0 |
Recently comparable corpora have got great attention in the field of NLP. Extracting parallel fragments of texts, paraphrases or sentences from comparable corpora are particularly useful for any statistical machine translation system (SMT) (Smith et al. 2010) as the size of the parallel corpus plays major role in any S... | 0 |
Verbs are famously both complex and variable. They express the semantics of an event as well the relational information among participants in that event, and they display a rich range of syntactic and semantic behaviour (Jackendoff, 1972; Gruber, 1976; Levin, 1993) . Verbs play a key role at almost every level of lingu... | 0 |
Word sense disambiguation (WSD) is a difficult task for automatic systems (Navigli, 2009) . The most accurate WSD systems build on supervised learning models trained on annotated corpora (Taghipour and Ng, 2015) , but because of the difficulty of the sense annotation task (Artstein and Poesio, 2008) , the luxury of sup... | 0 |
As a crucial task for discourse analysis, discourse relation recognition (DRR) aims to automatically identify the internal structure and logical relationship of coherent text (e.g., TEMPORAL, CONTIN-GENCY, EXPANSION, etc) . It provides important information to many other natural language processing systems, such as que... | 0 |
Information extraction (IE) from clinical text, such as electronic health records (EHR) or clinical trial narratives, is a promising application of machine learning that can potentially benefit many areas of the health sector (Dalianis, 2018) . IE systems are applied to facilitate administrative tasks by assigning medi... | 0 |
Defining conceptual representations along with their associated reasoning procedures required and still requires truly interdisciplinary efforts, involving psychologists (Miller and Charles, 1991; Barsalou, 1999; Malt et al., 2015) , philosophers (Machery, 2009; Gärdenfors, 2014) , neuroscientists (Vigliocco et al., 20... | 0 |
Depression and dementia are both medical conditions that can have a strong negative impact on the quality of life of the elderly, and they are often comorbid. However, depression is often treatable with medication and therapy, whereas dementia usually occurs as the result of an irreversible process of neurodegeneration... | 0 |
Despite recent advances in machine translation made possible by neural networks with attention mechanism (Bahdanau et al., 2014; Luong et al., 2015) , the Japanese-English pair remains a challenging language pair for machine translation systems to handle. Challenges posed by this language pair are multifaceted, startin... | 0 |
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