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India has a total of 22 scheduled languages with a combined total of more than a billion speakers. Indian language content on the web is accessed by approximately 234 million speakers across the world 1 . Despite the enormous user base, Indian languages are known to be low-resource or resource-constrained languages for... | 0 |
Web 2.0 leads to the proliferation of user generated content, such as blogs, wikis and forums. Key properties of user generated content are: low publication threshold and a lack of editorial control. Therefore, the quality of this content may vary. The end user has problems to navigate through large repositories of inf... | 0 |
Given the current situation where a variety of language resources have been actively developed and disseminated, integrating these independently developed resources, preferably in a standardized format, has become an important issue (Cimiano et al., 2013) . In particular, aligning lexicalsemantic resources (henceforth,... | 0 |
The task of Native Language Identification (NLI) is the task of identifying the native language of a writer or a speaker by analyzing their writing in English. Previous work in this area shows that there are several linguistic cues that can be used to do such identification. Based on their native language, different sp... | 0 |
Word segmentation is a crucial topic in analysis of languages without word boundary markers. Many researchers have been trying to develop and implement in order to gain higher accuracy. Unlike in English, word segmentation in Thai, as well as in many other Asian languages, is more complex because the language does not ... | 0 |
In the late 1990s, the Medstract project (Pustejovsky et al., 2002) set out to use common Natural Language Processing techniques and employ them to access relational information in Medline abstracts. Medstract used a set of pipelined Python scripts where all scripts operated on in-memory objects. The output of this pip... | 0 |
The aim of this paper is to explore the relationship between parsing and deduction. The basic notion, which goes back to Kowaiski (Kowalski, 1980} and Colmerauer {Colmeraucr, 1978) , h'zs seen a very efficient, if limited, realization in tile use of the logic programming language Prolog for parsing {Colmerauer, 1978; P... | 0 |
Visual dialog can be seen as an extension of the visual question answering (VQA) (Antol et al., 2015; Yu et al., 2017) . Unlike visual question answering, in which each question is asked independently, visual dialog requires the agent to answer multi-round questions and the previous round of question-answer pairs form ... | 0 |
Avec le développement d'Internet, l'accès à de grandes quantités de données textuelles est devenu possible ; les analyseurs syntaxiques qui, en amont d'autres outils linguistiques, traitent ces données ont alors dû se fixer de nouveaux objectifs. Il doivent ainsi être capables de traiter ces grandes quantités en des te... | 0 |
Although languages have appeared and disappeared throughout history, today languages are facing extinction at an unprecedented pace. Over 40% of the estimated 7,000 languages in the world are at risk of disappearing (Alliance for Linguistic Diversity, 2013). Efforts to document languages become even more important with... | 0 |
In many areas of natural language processing (NLP) it is important that systems are able to correctly analyze and generate different morphological forms, including previously unseen forms. Two examples are machine translation and question answering, where errors in the understanding of morphological forms can seriously... | 0 |
Representing semantics as a logical form that supports automated inference and model construction is vital for deeper language engineering tasks, such as dialogue systems. Logical forms can be obtained from hand-crafted deep grammars (Butt et al., 1999; Copestake and Flickinger, 2000) but this lacks robustness: not all... | 0 |
Previous work in NLP on sentiment analysis has mainly focused on explicit sentiments. However, as noted in , many opinions are expressed implicitly, as shown by this example:Ex(1) The reform would lower health care costs, which would be a tremendous positive change across the entire health-care system.There is an expli... | 0 |
The psychological phenomenon of social proof suggests that people will be influenced by others in their surroundings. Furthermore, social proof is most evident when a person perceives the people in their surroundings to be similar to them (Cialdini, 2007) . This tendency is known as homophily. One manner in which peopl... | 0 |
Social media has become pervasive in our daily life, and it is a great way to spread important information efficiently. Using social media (e.g., Twitter, Facebook, Pinterest), people can conveniently inform others and express support during emergencies and disasters.Nowadays, the social media is keeping producing a hu... | 0 |
Learning to read is a complex and lengthy process leading to a fundamental skill which is crucial for academic, professional and personal success. Yet, according to the Progress in International Reading Literacy (PIRLS 1 ) 2001, the overall performances of French young readers is gradually decreasing from evaluation to... | 0 |
People today increasingly rely on digital modalities and applications to organize, track and complete tasks from their work and life. They depend on email to structure their communications as a way of tracking pending tasks (Bellotti et al., 2003) , issue commands to their digital assistants 1 for timely task reminders... | 0 |
Feelings, opinions, or reviews of customers in online shops or social media such as YouTube, Facebook, WhatsApp, Instagram, Twitter, etc. are called sentiments. Feedback or opinion about whatever is available on the internet can also be seen as sentiments Mahesan, 2019, 2020a,b) . Increase in the number of people using... | 0 |
Training vector representations (contextual or noncontextual) from large textual corpora has been the dominant technical paradigm for building NLP models in recent years (Pennington et al., 2014; Peters et al., 2018; Devlin et al., 2019; Liu et al., 2019, inter alia) . Unfortunately, these representations learn stereot... | 0 |
Sentence summarization is a well-studied task that creates a condensed version of a long source sentence. Sequence-to-sequence (seq2seq) model that encodes a source sequence into a latent representation and outputs another sequence is the dominating framework for sentence summarization (Rush et al., 2015; Chopra et al.... | 0 |
Although only speakers and writers instead of texts have topics (Brown and Yule, 1983, p. 68) , natural language researchers always want to identify a topic or a set of possible topics from a discourse for further applications, such as anaphora resolution, information retrieval and so on. This paper adopts a corpus-bas... | 0 |
Data play a key role in machine learning as they are the main source of information to infer parameter values of the employed mathematical model.In statistical machine translation (SMT), learning is performed on parallel texts, i.e. documents, sentences or even fragments of sentences with their translation(s). Large am... | 0 |
A frequent task for researchers is searching for relevant publications or citations. These resources are often queried by the name of an author. According to Dogan et al. (2009) queries based on Author Name are most frequent in PubMed and make approximately 36% of all queries. However, author names can be highly ambigu... | 0 |
Generating a readable text is the primary goal in natural language generation (NLG) . To realise such text, we need to arrange discourse entities (e.g. NPs) in appropriate positions in a sentence according to their discourse salience. Consider the two following Japanese texts, each of which consists of two sentences.(1... | 0 |
Sarcastic language is commonly found in social media posts (González-Ibáñez et al., 2011; Maynard and Greenwood, 2014) , forum discussions (Khodak et al., 2018a) , product reviews (Davidov et al., 2010; Filatova, 2012) and everyday conversations (Gibbs, 2000) . Detecting sarcasm is an integral part of creative language... | 0 |
The importance of viewing utterances as not simply statements of fact but also as real actions (speech acts) with consequences has long been well understood (Searle, 1969; Austin 1975; Orice 1975) . As a result, it is important to study not just the formal aspects of language forms but also how speakers use different f... | 0 |
Geographical Information Systems (GISs) are information systems for processing of data that pertain to spatial or geographic coordinates [14] . Even though GISs are enjoying a rapidly growing users community, the current systems are often difficult to use or require a long learning process [13] . In the GIS literature ... | 0 |
Spoken Dialog Systems carry out automatic speech recognition and shallow natural language understanding by heavily relying on statistical models. These in turn need annotated data describing the application domain. Such annotation is far the most expensive part of the system design. Therefore, methods reducing the amou... | 0 |
In this paper, we discuss the enhanced data visualization capabilities enabled by the open-source natural language processing (NLP) tools (either separately or pipelined in application workflows) as well as openly available visualization toolkits. While popular text-based search and navigation applications such as Elas... | 0 |
Wysiwym (What You See Is What You Meant) is a user-interface technology through which a domain expert can formally encode knowledge by structured editing of an automatically generated feedback text (Power and Scott, 1998) . The technology has hitherto addressed two practical contexts: the automatic production of multil... | 0 |
Multiword expressions (MWEs) are lexical items that can be decomposed into multiple component words, but have properties that are idiomatic, i.e., marked or unpredictable, with respect to properties of their component words (Baldwin and Kim, 2010) . MWEs include a wide range of phenomena such as noun compounds (e.g., s... | 0 |
Deep acoustic models have improved automatic speech recognition (ASR) substantially in recent years (Schneider et al., 2019; Baevski et al., 2020a,b; Conneau et al., 2020) . These models represent linguistic information based on massive amounts of data. While these models are generally evaluated on ASR benchmarks, few ... | 0 |
In recent years, dependency parsing is a fascinating research topic and has a large number of applications in natural language processing. This task is to automatically identify the relationship between words in a sentence and label the relationship between the head and the dependency word, and thus, establish the gram... | 0 |
The starting point for our research in the Word Sense Disambiguation (WSD) area was to explore the use of semantic domains in order to solve lexical ambiguity. At the Senseval-2 competition we proposed a new approach to WSD, namely Domain Driven Disambiguation (DDD). This approach consists of comparing the estimated do... | 0 |
Many temporal expressions in text are underspecified, requiring contextually-sourced information in order to determine their correct interpretation. In some cases, it is sufficient to determine what is sometimes called the temporal focus, so that the precise location of a relative temporal expression on a timeline can ... | 0 |
This paper introduces our submissions to the IWSLT 2022 Isometric Spoken Language Translation task. To train our models, we perform multiple data filtering strategies to enhance data quality. In addition, we leverage Multilingual model (Johnson et al., 2017) , Forward and Back Translation (Edunov et al., 2018) , and R-... | 0 |
In a Wizard-of-Oz (WOZ) experimental setup, some or all of the automated portions of a dialogue system are replaced with a hidden, human evaluator. This setup is often used to gather data from users who believe they are interacting with an automated system (Wolska et al., 2004; Andrews et al., 2008; Becker et al., 2011... | 0 |
In the past few years, large language models (some with tens of billions of parameters) have shown great success and have propelled the field of Natural Language Processing (NLP) and the industry forward. In parallel, recent advances in Meta Learning have shown great promise in computer vision, robotics, and machine le... | 0 |
Structured prediction is an umbrella term used for a variety of machine learning algorithms and frameworks. The common thread that links these approaches together is that when predicting over a par-ticular variable, the relationships between that variable and others are taken into account (in the form of a "structure")... | 0 |
The past several years have witnessed the rapid development of neural machine translation (NMT) (Sutskever et al., 2014; Bahdanau et al., 2015) , which investigates the use of neural networks to model the translation process. Showing remarkable superiority over conventional statistical machine translation (SMT), NMT ha... | 0 |
Cultural heritage, and other special domains, pose a particular problem for information retrieval. Progress in information retrieval depends heavily on the availability of suitable test collections consisting of a set of documents; a set of search topics;and (human) relevance judgments. Standard benchmarks, such as tho... | 0 |
The Irish language enjoys the status of both the first official language of Ireland and an official European Union language. As a result of this status is there is a requirement for official public content to be made available in Irish in both Ireland 1 and the EU. 2 There is currently a derogation on the amount of Iri... | 0 |
Understanding events is crucial to natural language understanding and has applications ranging from question answering (Berant et al., 2014; Narayanan and Harabagiu, 2004) , to causal reasoning (Do et al., 2011; Chambers and Jurafsky, 2008) to headline generation (Sun et al., 2015) . The task of Cross Document Event Co... | 0 |
Word embeddings -generated with neural networks (NN) or other factorization techniques -are a standard element in natural language processing (NLP) applications. However, an important issue is their lack of sense-awareness, i.e. a word and its vector share a bijective mapping and a potential multiplicity of word meanin... | 0 |
Word Sense Disambiguation (WSD) is the task of determining the meaning of a word in a given context. This task has a long history in natural language processing, and is considered to be an intermediate task, success of which is considered to be important for other tasks such as Machine Translation, Language Understandi... | 0 |
Parsers need to learn the syntax of the modeled language in order to project structure on newly seen sentences. Parsing model design aims to come up with features that best help parsers to learn the syntax and choose among different parses. One aspect of syntax, which is often not explicitly modeled in parsing, involve... | 0 |
Multilingual speakers often switch back and forth between languages when speaking or writing, mostly in informal settings. The mixing of languages involves very elaborated patterns and forms and we usually use the term Code-Switching (CS) to encompass all of them (Lipski, 1978) . Before the Internet era, CS was mainly ... | 0 |
In recent years, large-scale pre-trained neural network models have transformed the landscape of natural language processing (NLP) research. This approach to NLP became prominent after several models such as BERT (Devlin et al., 2019) achieved new state of the art performance on a wide range of NLP tasks such as natura... | 0 |
In this paper we present LXGram, a hand-built, general purpose computational grammar for the deep linguistic processing of Portuguese, specially geared to high precision processing of Noun Phrases. This grammar is based on the framework of Head-Driven Phrase Structure Grammar (HPSG; Pollard and Sag (1994) ), one of the... | 0 |
The goal of online news comments is to provide constructive, intelligent and informed remarks that are relevant to the article, often in the form of an exchange with other readers. Many comments, however, do not contribute to achieving this goal. Online comments have a broad range: they can be vacuous, dismissive, abus... | 0 |
Feedforward neural networks were designed to approximate and interpolate functions. Recurrent Neural Networks (RNNs) were developed to predict sequences. RNNs can be 'unwrapped' and thought of as very deep feedforward networks, with weights shared between each layer. Computation proceeds one step at a time, like the tr... | 0 |
Natural Language Inference (NLI) is a fundamental yet challenging task for natural language understanding. NLI aims to determine whether the logical relationship between a premise p and a hypothesis h is entailment, neutral, or contradiction. NLI requires reasoning and inference abilities which are crucial for artifici... | 0 |
Dependency parsing is an important step in many applications of natural language processing, such as information extraction, machine translation, interactive language learning and corpus search interfaces. There are a number of approaches to dependency parsing. These include rule-based approaches such as [1] for German... | 0 |
Statistical language modelling addresses the problem of assigning probabilities to sentences in natural languages. In an effective model, these probabilities function as statistical proxies for sentences' syntactic well-formedness and semantic plausibility. As such, language models (LMs) play a crucial role in machine ... | 0 |
Over the last decade an increasing number of people access news online (Amy Mitchell, 2016) , and use social networking platforms to engage, consume and propagate this content in their social circles. Social networks provide easy means to distribute news and commentary, resulting in a sharp increase in the number of me... | 0 |
BERT-based pre-trained language models (LMs) have enabled significant advances in NLP (Devlin et al., 2019; Liu et al., 2019; Lan et al., 2020) . Pretrained LMs have also been developed for the multilingual setting, where a single multilingual model is capable of handling inputs from many different * Authors contribute... | 0 |
Interest in sentiment analysis spans academic and commercial domains, with wide-ranging applications (Pang and Lee, 2008; Liu, 2012) . While the majority of tools for sentiment analysis have been developed for English text, ideally sentiment and emotion could be analyzed across many languages. Does one need to build mo... | 0 |
Obtaining a high-quality parallel training corpus is one of the most critical issues in machine translation. Previous work on parallel document mining using large distributed systems has proven effective (Uszkoreit et al., 2010; Antonova and Misyurev, 2011) , but these systems are often heavily engineered and computati... | 0 |
Nous présentons dans cet article les méthodes que nous avons conçues pour répondre à la tâche 3 de la campagne d'évaluation DEFT 2020. Cette tâche porte sur la détection d'entités nommées dans des textes de descriptions de cas cliniques (Grabar et al., 2018) . Les différents types d'entités sont, d'une part, les pathol... | 0 |
Legal Judgement Prediction (LJP) aims to predict charge, law article and terms of penalty automatically based on the fact descriptions of the criminal cases. It can be used to help the court's judgement and provide legal guidance and assistance to the public.In recent years, different methods have been proposed to impr... | 0 |
Hindi is a morphologically rich and a relatively free word order language (MoR-FWO). Parsing is a challenging task for such MoR-FWO languages like Turkish, Basque, Czech, Arabic, etc. because of their non-configurable nature. Previous research showed that the dependency based annotation scheme performs better than phra... | 0 |
The exponential growth of social media such as Twitter, Facebook or Youtube has created a variety of novel ways to communicate. This daily exposure to other users' opinions and comments has become a constant in many people's lives. Unfortunately, this new way of freely communicating online has also given a forum to peo... | 0 |
Flexible composition (FC) is a way of viewing TAG derivations so that the operation of adjoining of a tree β into a tree γ can be alternatively viewed as attachment of γ to β. That is, γ splits at the adjunction site and wraps around β (see Figure 1b) . This "flexible" view of the attachment operation does not have muc... | 0 |
"How much strong generative power can be squeezed out of a formal system without increasing its weak generative power?" This question, posed by Joshi (2000) , is important for both linguistic description and natural language processing. The extension of tree adjoining grammar (TAG) to tree-local multicomponent TAG , or... | 0 |
Social media platforms have become a powerful tool to spontaneously connect people and share information with effortless access to the internet. These platforms provide users with a cloak of anonymity that allows them to speak their opinions publicly. Unfortunately, this power of anonymity is misused to disseminate agg... | 0 |
Learning continuous vector representations of embeddings is an expensive exercise as it requires a large quantity of free text to train stable representations (Sahin et al., 2017) . Learning word embeddings in the English language is relatively easy since a model can make use of free text online from sources like Wikip... | 0 |
Recent advances in open domain question answering (QA) have mostly revolved around machine reading comprehension (MRC) (Rajpurkar et al., 2018; Yang et al., 2018) . The MRC task is to read and comprehend a given text and then answer questions based on it. Our monolingual MRC approach (Pan et al., 2019) has the capabili... | 0 |
Emotions are a fundamental component of any language that are used to express how people feel about different things. Emotion detection and classification has becomes an important task in the field of Natural Language Processing (NLP) . Emotion analysis enables the improved understanding of user-generated text and has ... | 0 |
Automatic word alignment is the first step in the pipeline of statistical machine translation. Translation models are usually extracted from wordaligned bilingual corpora, and lexical translation probabilities based on word alignment models are also used for translation.The most widely used models are the IBM Model 4 (... | 0 |
Word Sense Disambiguation (WSD) is a key task in computational lexical semantics, inasmuch as it addresses the lexical ambiguity of text by making explicit the meaning of words occurring in a given context (Navigli, 2009) . Anyone who has struggled with frustratingly unintelligible translations from an automatic system... | 0 |
The ability to extract words from fluent speech appears as early as the seventh month in human development (Jusczyk et al., 1999) . Models of this ability have emerged from such diverse fields as linguistics, psychology and computer science. Many of these models make unrealistic assumptions about child language learnin... | 0 |
For any dialogue system, a major development effort is in designing the dialogue policy of the system, that is, which dialogue actions (e.g. ask(destination city) or explict confirm) the system should perform. Machine-learning approaches to dialogue policies have been proposed by several authors, for example (Levin et ... | 0 |
Transformers (Vaswani et al., 2017) and their variants (So et al., 2019; Dehghani et al., 2019; Fonollosa et al., 2019; Zhu et al., 2020) significantly enhance the performance of neural machine translation (NMT). But this often requires a large size of the hidden layer (e.g., Raffel et al. (2019) used a dimension of 65... | 0 |
While research on generating coherent written text has flourished within the computational linguistics and artificial intelligence communities, research on the generation of spoken language, and particularly intonation, has received somewhat less attention. In this paper, we argue that commonly employed models of text ... | 0 |
Temporal information extraction has been a widely explored topic of research interest in the field of information extraction during recent years. It is essential for improving the performance of applications such as question answering, search, text classification and systems that establish timelines from clinical narra... | 0 |
A phrase table, a key component of phrase-based statistical machine translation (PBMT) systems, consists of a set of phrase pairs. A phrase pair is a pair of source and target language phrases, and is used as the atomic translation unit. Today's PBMT systems have to store and process large phrase tables that contain mo... | 0 |
People learn a foreign language for many reasons like: living in a new country, having a general interest in the language etc., In many of these scenarios, language learners also undertake exams to get certified for their proficiency in a foreign language. Language proficiency is typically measured using some standardi... | 0 |
In the natural language processing community, we've reached a consensus that explainability in trained models is a positive attribute. When performing model selection, the less complex and more explainable model should be preferred (holding all else -for instance, classification accuracy or training time -equal). Part ... | 0 |
This paper describes NTT's submission to the WMT 2018 news translation task . This year, we participated in English-to-German (En-De) and German-to-English (De-En) translation tasks. The starting point of our system is the Transformer model (Vaswani et al., 2017) , which recently established better performance than con... | 0 |
The multimodal machine translation (MMT) shared task has been conducted for the past three years Elliott et al., 2017; Barrault et al., 2018) with the main goal of investigating the effectiveness of information from images in machine translation (MT). However, as acknowledged in Barrault et al. (2018) , it has been dif... | 0 |
In the last 20 years dictionaries and lexicographic resources such as WordNet have started to be enriched with multimodal content (e.g. pictorial illustrations, animations, videos, audio files).Pictures are effective in conveying the meaning of denotative words such as concrete nouns, while for abstract relations (inst... | 0 |
Neural network models have become extremely popular in the last several years for a wide variety of NLP tasks, including language modeling (Schwenk, 2007) , sentiment analysis (Socher et al., 2013) , translation modeling (Devlin et al., 2014) , and many others (Collobert et al., 2011) . However, a serious drawback of n... | 0 |
This paper is about the computational analysis of visual aesthetics. We focus our attention on Outsider Art, which is considered by some as the "unsightly style". At present, aesthetics constitutes a field of interest for scientists working in Artificial Intelligence, particularly in the context of paintings. Five of t... | 0 |
The rapid expansion in published scientific knowledge has enormous potential for good, if it can only be harnessed correctly. For example, during the first five months of the global COVID-19 pandemic, at least 11000 papers were published online about the novel disease (Hallenbeck, 2020) , with each representing a poten... | 0 |
This paper presents the results for the shared translation task of the 2007 ACL Workshop on Statistical Machine Translation. The goals of this paper are twofold: First, we evaluate the shared task entries in order to determine which systems produce translations with the highest quality. Second, we analyze the evaluatio... | 0 |
Massively-parallel models of language interpretation ~:including markeropassing models and neural networks of both the connectionist and PDP (parallel distributed processing) variety--have provoked some fundamental questions about the limits of symbolic, logic-or rule-based frameworks. Traditional frameworks have diffi... | 0 |
Les réseaux sociaux prenant une place croissante sur le Web et avec l'avènement de messages courts à des fins de communication, contextualiser l'information est de première importance. Le domaine de la classification vise à organiser, voire hiérarchiser, des choses (connaissances, concepts, objets, etc.) selon des clas... | 0 |
Metaphor is a common linguistic mechanism that encodes versatile ontological information accompanied by phenomena of e.g. domain transfer , concreteness change (Maudslay et al., 2020) or semantic surprise (Zhang and Barnden, 2013) etc. In general, metaphor usually involves certain concept transfer from one domain (Sour... | 0 |
This paper presents the first developmental stage of a Constraint Grammar (CG) parser for Plains Cree, a North American Indigenous language spoken by several thousands of people primarily in the Canadian provinces of Alberta and Saskatchewan. It is a member of the Algonquian language family and the westernmost language... | 0 |
Cross-document (CD) coreference resolution identifies and links textual mentions that refer to the same entity or event across multiple documents. For example, Table 1 depicts different news stories involving former U.S. president Barack Obama.While subsuming the challenges of withindocument (WD) coreference, CD corefe... | 0 |
Alignments in parallel corpora provide a straightforward basis for the extraction of paraphrases by means of re-translating pivots and then ranking the obtained set of candidates. For example, if the German verb aufsteigen is aligned with the English pivot verbs rise and climb up, and the two English verbs are in turn ... | 0 |
Explanation systems must produce multisentential texts, including justifications of their actions, descriptions of their problem-solving strategies, and definitions of the terms they use. Previous research in natural language generation has shown that schemata of rhetorical predicates (McKeown 1985; McCoy 1989; Paris 1... | 0 |
Empirical linguistic studies require access to large corpora of text, and they benefit greatly when the text is stored in a form that enables the efficient retrieval of specific elements, such as sentences that match a pattern defined by a linguist. The size and contents of the corpus, the type and structure of its ann... | 0 |
In this paper, we present the Data-Driven MT systems developed at DCU, MATREX (Machine Translation using Examples). This system is a hybrid system which exploits EBMT and SMT techniques to build a combined translation model. We participated in both the French-English and Spanish-English EuroParl tasks. In these two tas... | 0 |
One of the main state-of-the art approach to language modeling is application of neural networks (NNs). For language modeling, the usage of recurrent NNs (RNNs) is preferable because this type of NNs can store the whole context preceding the given word in contrast to feedforward NNs which store a context of restricted ... | 0 |
Task-oriented dialogue agents assist human users to complete their tasks in multi-round human-agent interactions. Example tasks include booking a movie ticket or reserving a lunch table. Many agents use deep reinforcement learning (DRL) to learn good policies that respond appropriately in the dialogue and succeed in co... | 0 |
Natural Language Generation (NLG) is concerned with the generation of natural language text from non-linguistic input (Gatt and Krahmer, 2018) . One step in a classic generation pipeline (Reiter and Dale, 2000) is Referring Expression Generation (REG, Krahmer and van Deemter (2019) for an overview). REG has important p... | 0 |
Noun phrase coreference resolution is the task of grouping noun phrases (NPs) together that refer to the same discourse entity in a text or dialogue. In Example (1), taken from Umbach (2002) , the question for the coreference resolver, besides linking the anaphoric pronoun he back to John, is to decide whether an old c... | 0 |
Recording and archiving of lectures is feasible and practiced at several universities (e.g., the MIT OpenCourseWare project [1] ). Nevertheless, automatic speech recognition (ASR) on lecture data is non-trivial, for example due to highly specific contents and spontaneity in speech style. Since word error rates (WERs) s... | 0 |
This paper reports on the process of constructing a wordnet(WN) for the Coptic language. Coptic belongs to the Egyptian branch of the Afroasiatic language family, spoken in Egypt mainly in the first millennium CE and written in an extended form of the Greek alphabet (see Section 1.2). Together with its precursor Ancien... | 0 |
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