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Schizophrenia is a group of mental disorders that affect thinking and emotional responsiveness, documented throughout history (e.g., The Book of Hearts, 1550 BCE). Today it is diagnosed and monitored leveraging self-reported experiences. 2 This may be challenging to elicit from schizophrenia sufferers, as a hallmark of... | 0 |
Our research focuses on the problem of classifying message board posts in the domain of veterinary medicine. Most of the posts in our corpus discuss a case involving a specific patient, which we will call patient-specific posts. But there are also posts that ask a general question, for example to seek advice about diff... | 0 |
There are numerous benefits to image recognition and labeling (i.e., tagging), such as providing better accuracy in image searches to greater accessibility for visually impaired users. Despite impressive advances in computer vision, many challenges remain in image recognition; it remains an intractable problem. Unlike ... | 0 |
We present an extractive text summarization system and test it on automatic meeting speech transcriptions and news articles. Summarizing spontaneous multiparty meeting speech text is a difficult task fraught with many unique challenges (McKeown et al., 2005) . Rather than the wellformed grammatical sentences found in t... | 0 |
An effective solution for performing spoken language translation (SLT) must deal with the evident challenge of transferring the implicit semantics between audio and text modalities. An end-to-end SLT system must hence appropriately address this problem while simultaneously performing accurate machine translation (MT) (... | 0 |
Information Extraction (IE) aims to extract structured information from unstructured texts. It is a complex task comprised of a wide range of subtasks, such as named, nominal, and pronominal mention extraction, entity linking, entity coreference resolution, relation extraction, event extraction, and event coreference r... | 0 |
Relation extraction (RE) aims at predicting the relation between entities based on their context. Several studies have been carried out to handle this crucial and complicated task over decades as the extracted information can serve as a significant role for many downstream tasks. Since the amount of training data gener... | 0 |
Open-domain question answering (QA) aims to find the answers to natural language questions from a large collection of documents. Early QA systems (Brill et al., 2002; Dang et al., 2007; Ferrucci et al., 2010) constructed complicated pipelines consisting of multiple components, including question understanding, document... | 0 |
In the data-to-text generation task (D2T), the input is data encoding facts (e.g., a table, a set of tuples, or a small knowledge graph), and the output is a natural language text representing those facts. 1 In neural D2T, the common approaches train a neural end-to-end encoder-decoder system that encodes the input dat... | 0 |
In my outsider's opinion-I'm not a linguist and this is my first ACL meeting-this workshop marks an important turn in the study of language. Here is why I think so. Donald Stokes, in Pasteur's Quadrant (1997) , argues that the standard view that science progresses from pure to applied research to engineering implementa... | 0 |
In a joint project with political scientists, we are concerned with various tasks of indexing the content of a large corpus of newspaper articles. To supplement other NLP tools and as an interesting information for the political scientists by itself, we are interested in keeping track of discussions around headline eve... | 0 |
Natural language processing is a field of computer science, artificial intelligence (also called machine learning) and linguistics concerned with the interactions between computers and human (natural) languages. Specifically, it is the process of a computer extracting meaningful information from natural language input ... | 0 |
The growing interest in practical NLP applications such as question-answering and text summarization places increasing demands on the processing of temporal information. In multidocument summarization of news articles, it can be useful to know the relative order of events so as to merge and present information from mul... | 0 |
In late years, e-commerce, the services by which users can easily purchase products on the Web without visiting a store, is introduced in many companies. When products are purchased via Internet, the user narrows down the candidate categories of each product in incremental steps. We categorized the products on the Web ... | 0 |
There is great value in understanding the fundamental nature of a question (Chalmers, 2015) . Distilling the core of an issue, however, is timeconsuming. Finding the correct answer to a given question may require reading large volumes of text or understanding complex arguments. Here, we examine if we can automatically ... | 0 |
Tables, which are simple and easy to use, are very common presentation scheme for writers to describe schedules, organize statistical data, summarize experimental results, and so on, in texts of different domains. Because tables provide rich information, table acquisition is useful for many applications such as documen... | 0 |
Word Sense Disambiguation(WSD) is the process of assigning a meaning to a word based on the context in which it occurs. It is very important to many research fields such as Machine Translation, Information Retrieval. The goal of the multilingual Chinese-English lexical sample task in SemEval-2007 is to predict the corr... | 0 |
There are multiple attributes of a written text that impact how difficult it is to read. This concept is formally known as the readability of text, where readability is defined as the sum total of elements within a text that impact a reader's understanding, reading speed and level of interest (Dale and Chall, 1949) . M... | 0 |
Identifying rumours and assessing their veracity in social media is an important task with downstream applications in journalism (Zubiaga et al., 2018a) . Such tools can be used to make journalists more productive and also have the potential to be valuable tools in informing the public about the veracity of rumours esp... | 0 |
Legal Judgment Prediction(LJP) aims to predict a law case's judgment results given a fact description text. LJP mainly contains three sub-tasks, law article prediction, charge prediction, and terms of penalty prediction. In the civil law system, the correct prediction of law article prediction can help improve the accu... | 0 |
Attempts to the automatic identification of a structure in discourse have so far met with a limited success in the computational linguistics literature. Part of the reason is that, compared to sizable data resources available to parsing research such as the Penn Treebank (Marcus et al., 1993) , large corpora annotated ... | 0 |
A number of approaches for detecting narrative structures in text have been devised in recent years. Drawing from the work of Schank and Abelson (1977) and subsequent efforts to automatically populate templates with specific events and particpants referred to in text, Chambers and Jurafsky (2008; created the first stat... | 0 |
Lexical recognition tests (LRTs) are used to measure the vocabulary size of a learner. For that purpose, learners are presented with lexical items and have to decide whether they are part of the vocabulary of a given language (i.e. a word) or not (i.e. a nonword). Figure 1 gives an example of the two most common presen... | 0 |
Self-attention networks (SANs) (Lin et al., 2017) have achieved promising progress in various natural language processing (NLP) tasks, including machine translation (Vaswani et al., 2017) , natural language inference (Shen et al., 2018b) , semantic role labeling Strubell et al., 2018) and language representation (Devli... | 0 |
Words naturally evolve through time, their meaning may encounter subtle or radical changes resulting in a variety of senses. For example, the word mouse only had the meaning of animal until it acquired a brand new sense in 1980 as computer device. But sense changes are not always so definite, a word usage may drift pro... | 0 |
How to automatically detect and correct misspelled words in documents is a very important issue. It is not an easy task for programs to spot misspelled words automatically. In English sentences, words are separated by space, thereby leading to the result that it is not difficult to distinguish if there are characters w... | 0 |
There has been a steadily increasing interest in syntactic parsing based on dependency analysis in recent years. One important reason seems to be that dependency parsing offers a good compromise between the conflicting demands of analysis depth, on the one hand, and robustness and efficiency, on the other. Thus, wherea... | 0 |
A common method for constructing natural language inference (NLI) datasets is (i) to generate text-hypothesis pairs using some methodcommonly, crowd-sourced hypothesis elicitation given a text from some existing resource (Bowman et al., 2015; Williams et al., 2018) or automated text-hypothesis generation (Zhang et al.,... | 0 |
In the past two decades, there has been tremendous progress in natural language processing and various undergraduate/graduate programs in language technology have been established around the world (Koit et al., 2002; Frederking et al., 2002; Dale et al., 2002; Uszkoreit et al., 2005; Pilon et al., 2005) .This paper int... | 0 |
Grammar induction is a central problem in Computational Linguistics, the aim of which is to induce linguistic structures from an unannotated text corpus. Despite considerable research effort this unsupervised problem remains largely unsolved, particularly for traditional phrase-structure parsing approaches (Clark, 2001... | 0 |
La tâche de résolution des coréférences consiste à partitionner des mentions de référents de discours en chaînes de coréférence. Cette définition abstraite ne spécifie pas la nature exacte des mentions de référents de discours, qui demeure à ce jour mystérieuse, et pose la question de la forme linguistique sous laquell... | 0 |
Compared to English Named Entity Recognition (NER), Chinese NER is more difficult. For example, although capitalization plays an very important role in English NER, this language-specific feature is useless in Chinese NER. Moreover, the lack of space between words in Chinese often makes the work based on word segmentat... | 0 |
Relationship Extraction (RE) transforms unstructured text into relational triples, each representing a relationship between two named-entities. A bootstrapping system for RE starts with a collection of documents and a few seed instances. The system scans the document collection, collecting occurrence contexts for the s... | 0 |
Transformer (Vaswani et al., 2017) architectures are the backbone of numerous state-of-the-art NLP models such as BERT , GPT , and Meena (Adiwardana et al., 2020) , and have seen wide success across both academia and industry. Typically, a Transformer network consists of a stack of residual layers. The original design ... | 0 |
Classical Chinese poetries are great heritages of the history of Chinese culture. One of the most popular genres of classical Chinese poems, i.e. quatrains, contains four lines with five or seven characters each and additional rhythm and tune restrictions. During 1,000 years history of quatrains, various styles, e.g. p... | 0 |
Intellectual property (IP) is an important and integral to the economy. IP-intensive industries directly accounted for 27.9 million jobs in the U.S. (USPTO, 2016) Theoretical and empirical evidence shows that patents are effective in fostering technological progress. (Gallini, 2002; Hu and Png, 2013; Hall and Harhoff, ... | 0 |
Word sense has always been difficult to define and pin down (Kilgarriff, 1997; Erk et al., 2013) . Recent successes of embedding-based, sense-agnostic models in various semantic tasks cast further doubt on the usefulness of word sense. Why bother to identify senses if even humans cannot agree upon their nature and numb... | 0 |
Multiword expressions (MWEs) consist of several words, but semantically act as one unit, having noncompositional (idiomatic) meaning [12, 9] . Their meaning cannot be deduced, although the meaning of each part is known. Nevertheless, it is necessary to know their meanings if we want to deal with semantics in any eld of... | 0 |
Sentiment analysis (SA) is the task of analysing opinions, sentiments or emotions expressed towards entities such as products, services, organisations, issues, and the various attributes of these entities (Liu, 2012) . The analysis may be performed at the level of a document (blog post, review) or sentence. However, th... | 0 |
In this paper we describe our Multitasking Selfattention based approach to Sigtyp 2020 Shared task (Constrained Sub-task) (Bjerva et al., 2020) which involves prediction of values of features from WALS Typology database for various lowresourced languages. Linguistic typology is the classification of human languages acc... | 0 |
Social media sites like Twitter, Facebook, Reddit, etc. have become a major source of information seeking. They provide chances to users to shout to the world in search of vanity, attention or just shameless self-promotion. There is a lot of personal discussions but at the same time, there is a base of useful knowledge... | 0 |
Neural machine translation (NMT) is a recently proposed approach for machine translation that relies only on neural networks. The NMT system is trained end-to-end to maximize the conditional probability of a correct translation given a source sentence (Kalchbrenner and Blunsom, 2013; Cho et al., 2014; Sutskever et al.,... | 0 |
Text categorization is a well-established sub-field of computational linguistics. We are interested in applying the techniques of text categorization for the purpose of positioning Life Long Learners with respect to educational programs and instructional materials. Quite simply, we can rate learner texts, likely to be ... | 0 |
L'identification et la modélisation des liens lexicaux sont des tâches centrales dans un grand nombre d'applications de la linguistique, par exemple : lexicographie, construction de lexiques formels pour le TALN et enseignement des connaissances lexicales (langue maternelle ou lan-gue seconde). On peut appeler lien lex... | 0 |
Part-of-speech tagging is now a classic task in natural language processing. Its aim is to associate each "word" with a morphosyntactic tag, whose granularity can range from a simple morphosyntactic category, or part-of-speech (hereafter PoS), to finer categories enriched with morphological features (gender, number, ca... | 0 |
Today, most computational models for natural language are based on distributional representations. Words are routinely represented by word embeddings (Mikolov et al., 2013) , most commonly as fixed-dimensional real-valued vectors, such as GloVe (Pennington et al., 2014) and fast-Text (Mikolov et al., 2018) . Even thoug... | 0 |
We present an architecture for spoken dialogue systems for both human-computer interaction and computer mediation or analysis of human dialogue. The architecture shares many components with those of existing spoken dialogue systems, such as CommandTalk (Moore et al. 1997) , Galaxy (Goddeau et al. 1994) , TRAINS (Allen ... | 0 |
Morphological analysis is a staple of natural language processing for broad languages. Especially for some East Asian languages such as Japanese, Chinese or Thai, word boundaries are not explicitly written, thus morphological analysis is a crucial first step for further processing. Note that also in Latin and old Engli... | 0 |
Natural language processing (NLP) plays an important role in artificial intelligence, which has been extensively studied for many decades. Conventional NLP techniques include the rule-based symbolic approaches widely used about two decades ago, and the more recent statistical approaches relying on feature engineering a... | 0 |
In response-based learning for SMT, supervision signals are extracted from an extrinsic response to a machine translation, in contrast to using humangenerated reference translations for supervision. We apply this framework to a scenario in which a semantic parse of a translated database query is executed against the Fr... | 0 |
Grapheme-to-phoneme conversion is an important prerequisite for many applicalions involving speech synthesis and recognition [I] . Large corpora used for these applications (e.g. WSJ, CMU, Oxford Pronunciation Dictionary, ONOMASTICA, SpeechDat) include phonetic transcriptions for both standard pronunciations and for va... | 0 |
We present the University of Edinburgh's participation in the WMT21 news translation shared task on the Bengali→Hindi (Bn→Hi) and Hindi→Bengali (Hi→Bn) language pairs. We followed the constrained condition, i.e. only using the data provided by the organizers. The training data for these language pairs consisted of nois... | 0 |
Several methods have been proposed to deal with anaphora resolution and prepositional phrase (PP) attachment phenomenon and separately, so that the literature is very abundant : for PPs see e.g., (Frazier and Fodor, 1979; Hobbs, 1990) , and (Wilks and Huang, 1985) , and for anaphora see e.g., (Carter, 1986; Reinhart, 1... | 0 |
Aspect-based sentiment analysis (ABSA) is a task of identifying the sentiment polarity of associated aspect terms in a sentence. Generally, ABSA is composed of three subtasks, 1) aspect term extraction (ATE), 2) opinion term extraction (OTE), and 3) aspect-based sentiment classification (ASC). Given the sentence "Food ... | 0 |
Parallel corpora are essential for many applications like statistical machine translation (SMT). Even resource rich language pairs in terms of parallel corpora always need more data, since languages evolve and diversify over time. Comparable corpora are considered as a widely available language resource that contains n... | 0 |
Multi-document news extractive summarization (MDS) aims to extract the salient information from multiple related news documents into a concise summary. Some approaches use task-specific architectures for this problem. For example, organize multiple documents as a heterogeneous graph before summarizing them. Zhong et al... | 0 |
This paper describes the design and development of a specialized multilingual lexical resource for the archive constructed and maintained by the Digital Silk Road project. The Digital Silk Road project (NII 2003) is an initiative started by the National Institute of Informatics (Tokyo/Japan) in 2002, to archive cultura... | 0 |
In Information Extraction (IE) we are interested in extracting structured knowledge from unstructured text. This structured knowledge takes most usually the form of directed binary relations between entities, in other words triples of the form headrelation -tail, which can then be used to populate a Knowledge Base or a... | 0 |
La veille est devenue un enjeu majeur pour les entreprises, qu'il s'agisse de veille technique ou scientifique, commerciale ou stratégique. Les « veilleurs » manipulent des masses de données de plus en plus importantes et ont besoin d'aides automatiques afin d'explorer au mieux ces données. Dans cet esprit, de nouvelle... | 0 |
Understanding the temporal relations between events mentioned in a document is an important natural language task with applications in downstream tasks such as timeline creation (Leeuwenberg and Moens, 2018) , time-aware summarization (Noh et al., 2020) , temporal question-answering (Ning et al., 2020a) , and temporal ... | 0 |
Keyphrase extraction is a natural language processing task for collecting the main topics of a document into a list of phrases. Keyphrases are supposed to be available in the processed documents themselves, and the aim is to extract these most meaningful words and phrases from the documents. Keyphrase extraction summar... | 0 |
Neural machine translation (NMT) models (Kalchbrenner and Blunsom, 2013; Cho et al., 2014; Sutskever et al., 2014; Bahdanau et al., 2015; Gehring et al., 2017; Vaswani et al., 2017) have achieved state-of-the-art results and have been widely used in many fields. Due to numerous parameters, NMT models can only play to t... | 0 |
Natural language Question Answering (QA) is recognized as a capability with great potential. The NIST-sponsored Text Retrieval Conference (TREC) has been the driving force for developing this technology through its QA track since TREC-8 (Voorhees 1999 ). There has been significant progress and interest in QA research i... | 0 |
One of the most fundamental conversational behaviour of any spoken dialog system (SDS) is that of turn-taking, i.e., to take turns without long response delays or frequent interruptions (Skantze, 2021) . To achieve this, the system must be able to correctly identify when the user is yielding the turn, and it is appropr... | 0 |
In the last two decades, there was an increasing interest in producing rich syntactic annotations that are not limited to surface analysis. See, among others, (Callmeier, 2000; Kaplan et al., 2004; Clark and Curran, 2007; Miyao and Tsujii, 2008; Zhang et al., 2016) . Such analysis, e.g. deep dependency structures (King... | 0 |
Chinese National Higher Education Entrance Examination, a.k.a. Gaokao ("高 考") in Chinese, has a similar format to the American SAT, except that it lasts more than twice as long. The ninehour test is offered just once a year and is the sole determinant for admission to virtually all Chinese colleges and universities. It... | 0 |
More recent development of QA systems (Song et al., 2018; De Cao et al., 2018; Zhong et al., 2019) has started to focus on multi-hop reasoning on text passages, aiming to propose more sophisticated models beyond the shallow matching between questions and answers. Multi-hop reasoning requires the ability to gather infor... | 0 |
Since Chinese Word Segmentation was firstly treated as a character-based tagging task in (Xue and Converse, 2002) , this method has been widely accepted and further developed by researchers (Peng et al., 2004) , (Tseng et al., 2005) , (Low et al., 2005) , (Zhao et al., 2006) . Thus, as a powerful sequence tagging model... | 0 |
Self-supervised pre-trained models (Peters et al., 2018; Devlin et al., 2019; Liu et al., 2019; Lan et al., 2019) have revolutionized natural language processing (NLP). Such pre-training with language modeling objectives provides a useful initial point for model parameters that adapt well to new tasks with supervised f... | 0 |
The identification of semantic relations between events is a mandatory component of natural language understanding. In this paper, we focus on the identification of causal relations between events represented by verbs. Following Riaz and Girju (2010) , we define a verbal event e v i as " [subject v i ] v i [object v i ... | 0 |
This research aims to detect distinctive syntactic properties of learner and professional translations from English into Russian when compared to the originally authored texts in Russian. The contrasts between them can provide insights into translation quality and be informative in translator education as well as machi... | 0 |
Recently, several efforts have aimed at understanding recipe instructions (see Section 2). We consider such recipes as prototypical for procedural texts, for which processing is complex due to the need to (i) understand the ordering of steps (not unlike, e.g., event ordering in news), (ii) solve frequent ellipsis (i.e.... | 0 |
Japanese input methods are an essential technology for Japanese computing. Japanese has over 6,000 characters, which is much larger than the number of keys in a keyboard. It is impossible to map each Japanese character to a key. So an alternate input method for Japanese characters is needed. This is done by inputting a... | 0 |
Self-attention based Transformer (Vaswani et al., 2017) effectively overcomes the problem of RNN being difficult to run in parallel, and greatly promotes the development of large-scale pre-training models. The pre-training language models, such as BERT (Devlin et al., 2019) , have achieved excellent performance in many... | 0 |
Spoken language understanding is one of the most challenging research areas in natural language processing. Since spoken language is incomplete in various ways, i.e., containing speech errors, ellipsis, metonymy, etc., spoken language understanding systems should have the ability to process incomplete inputs by hypothe... | 0 |
The size of scientific literature has increased dramatically during recent decades. In biomedical domain for example, PubMed -the largest repository of biomedical literature -contains more than 24 million articles. Thus, there is a need for concise presentation of important findings in the scientific articles being pub... | 0 |
The Textual Entailment (TE) paradigm ) is a generic framework for applied semantic inference. The objective of TE is to recognize whether a target meaning can be inferred from a given text. For example, a Question Answering system has to recognize that 'alcohol affects blood pressure' is inferred from 'alcohol reduces ... | 0 |
Gaining a better understanding of natural language, and especially natural language associated with images helps drive research in both computer vision and natural language processing (e.g., Barnard et al. (2003) , Pastra et al. (2003) , Feng and Lapata (2010b) ). In this paper, we look at how to exploit the enormous a... | 0 |
The difference between a set of randomly selected sentences and a discourse lies in coherence. Among other attempts at defining the elusive nature of coherence, one way is to look at the meaning conveyed between the adjacent pair of sentences. In the current study, we follow the Penn Discourse Treebank (PDTB) framework... | 0 |
Notre objectif général est de représenter de manière formelle le fonctionnement des Langues des Signes (LS), ses éléments et ses règles. Ces représentations doivent nous permettre de générer des énoncés et produire automatiquement des animations en LS via un signeur virtuel (personnage virtuel en 3d s'exprimant en LS),... | 0 |
A virtually linked knowledge base is designed to utilize a pre-constructed knowledge base in a dynamic mode when it is in actual use.An open-domain question answering architecture must consist of various components and processes (Pasça, 2001 ) that include WordNetlike resources, part of speech tagging, parsing, named e... | 0 |
For many natural language processing (NLP) tasks, particularly those involving meaning, creating labeled test data is difficult or expensive. One way to mitigate this problem is with pseudowords, a method for automatically creating test corpora without human labeling, originally proposed for word sense disambiguation (... | 0 |
Natural languages are living eco-systems, they are constantly in contact and, by consequence, they change continuously. Two of the fundamental questions in historical linguistics are the following (Rama and Borin, 2014) : i) How are languages related? and ii) How do languages change across space and time?. In this pape... | 0 |
This paper addresses two linguistic phenomena: translation and non-native language. Our main goal is to investigate the similarities and differences between these two phenomena, and contrast them with native language. In particular, we are interested in the reasons for the differences between translations and originals... | 0 |
The task of lypical natural language interface systems is much simpler than the general problem of natural language understanding: The simplificati~ns arise because:1. the systems operate within a highly restricted domain of discourse, so that a preci..~e set of object types c;~n be established, and many of tl;e ambigu... | 0 |
Arabic, similar to other languages have a number of dialectal varieties. With the emergence of social media, many of these varieties of Arabic started having wide representation in the written form. Twitter, Facebook, and YouTube are among the leading sources of such data (Zaidan and Callison-Burch, 2011; Mubarak and D... | 0 |
Corpus-based statistical modeling of semantics is gaining increased attention in computational linguistics. This field of research includes distributional vector space models (VSMs), i.e., models that represent the semantics of words or phrases as vectors over high-dimensional cooccurrence data (Turney and Pantel, 2010... | 0 |
Domain adaptation (DA) is the task of applying an algorithm trained on a source domain data to a different target domain data with limited/undefined labels. DA has gotten significant attention as an alternative of fine-tuning approach (Ganin and Lempitsky, 2015; Saito et al., 2018; Tzeng et al., 2017) , especially in s... | 0 |
The world of text conversations has undergone drastic changes during the last few years. The generation and sharing of such information have become much easier than before with the advent of popular social media platforms such as Twitter, Facebook, etc. According to Statistica 1 What-sApp is the most popular mobile mes... | 0 |
We are currently working on French-and English-Japanese term alignment from comparable corpora. Much work has been carried out on bilingual lexicon extraction, used to automatically update linguistic resources. This is especially interesting for specialised vocabulary and is needed by translators since regular bilingua... | 0 |
It has been noted several times by different authors that the use of the web as corpus enriches investigations of linguistic variation and change by providing a higher number of authentic and more recent examples than traditional corpora can furnish. In contrast to such "opportunistic" uses of the web, researchers of r... | 0 |
Large amounts of hate speech on exists on platforms that allow for user generated documents, which creates a need to detect and filter it (Nobata et al., 2016) , and to create data sets that contain hate speech and are annotated for the occurrence of hate speech. The need for corpus creation must be weighted against th... | 0 |
The evaluation of the machine translation (MT) output is an important and difficult task. The fastest way is to use an automatic evaluation metric, which compares the obtained output with a human translation of the same source text and calculates a numerical score related to their similarity. Despite all disadvantages ... | 0 |
The Pro3Gres parser is a dependency parser that combines a hand-written grammar with probabilistic disambiguation. It is described in detail in (Schneider, 2007) . It uses tagger and chunker pre-processors -parsing proper happens only between heads of chunks -and a post-processor graph converter to capture long-distanc... | 0 |
Online archives of presentations provide valuable sources of material for study and research. However, such is the amount of this content available in many settings it can be difficult for users to efficiently access material which is most likely to be of interest to them. Search of this content based on the words spok... | 0 |
As spoken dialogue interfaces are becoming more widely utilized, they will be expected to be able to engage in dialogues in a wide variety of topics. Particularly, spoken dialogue interfaces for office robots (Asoh et al., 1999) and multimodal kiosk systems (Gustafson and Bell, 2000) are expected to deal with people's ... | 0 |
The Arabic language has various dialects and variants that exist in a continuous spectrum. This variation is a result of multiple morpho-syntactic processes of simplification and mutation, as well as coinage and borrowing of new words in addition to semantic shifts of standard lexical items. Furthermore, there was a co... | 0 |
Neural models for NLP have yielded significant gains in predictive accuracy across a wide range of tasks. However, these state-of-the-art models are typically less interpretable than simpler, traditional models, such as decision trees or nearest-neighbor approaches. In general, less interpretable models can be more dif... | 0 |
Machine Translation (MT) is an automatic system that provides an ability to convert a message written in one language (source language: SL) to another (target language: TL) [1] . The interlingua approach [2, 3] [6] , the MULINEX project [7] , the TwentyOne project [8] , and the cross-language retrieval track in TREC [9... | 0 |
Literature based discovery (LBD) is an automatic technique addressing the ever increasing volume of research literature by inferring as yet unobserved connections. The approach was pioneered by Swanson (1986) who hypothesised a (hidden) connection between Raynaud phenomenon and fish oil, despite the fact that the two w... | 0 |
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