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Annotated corpora have always been the backbone for many fields in NLP and other disciplines related to linguistics. Whether serving as an invaluable source of empirical evidence for foundational research or doubling as gold-standard training input for fueling the furnaces of our machine learning factories, their impor... | 0 |
Bringing together language and vision in one intelligent system has long been an ambition in AI research, beginning with SHRDLU as one of the first vision-language integration systems (Winograd, 1972) and continuing with more recent attempts on conversational robots grounded in the visual world (Kollar et al., 2013; Ca... | 0 |
Some of NLP's most interesting problems have to do with unsupervised learning. Human language learners are able to discover word senses, grammatical genders, morphological systems, grammars, discourse registers, and so forth. One would like to build systems that discover the same linguistic patterns in raw text. For th... | 0 |
Binarization, which transforms an n-ary grammar into an equivalent binary grammar, is essential for achieving an O(n 3 ) time complexity in the contextfree grammar parsing. O(n 3 ) tabular parsing algorithms, such as the CKY algorithm (Kasami, 1965; Younger, 1967) , the GHR parser (Graham et al., 1980) , the Earley alg... | 0 |
Computer poetry generation has existed for some years now. Yet existing work in this field has very rarely applied existing techniques from natural language generation such as content planning, referring expression generation, lexical choice or surface realization. With the sole exception of Manurung's pioneering work ... | 0 |
This paper describes an indexing substrate for typed feature structures (ISTFS), which is an efficient retrieval engine for typed feature structures (TFSs) (Carpenter, 1992) . Given a set of TFSs, the ISTFS can efficiently retrieve its subset whose elements are unifiable or in a subsumption relation with a query TFS.Th... | 0 |
Japanese comparatives have recently attracted wide attention in syntax and semantics. Most of the previous works are concerned with yorimo 'than'comparatives. However, there is another 'than'comparative in Japanese, as illustrated in (1). Comparatives of this type are called izyooni 'than'comparatives.Interestingly, iz... | 0 |
With the increased need for instruction of international learners of English as a foreign language (EFL), there is a concomitant rise in demand to assess the language competence of English teachers who are non-native speakers of English. This situation arises because it is neither possible nor affordable for countries ... | 0 |
In machine translation, reordering is one of the major problems, since different languages have different word order requirements. Many reordering constraints have been used for word reorderings, such as ITG constraints (Wu, 1996) , IBM constraints (Berger et al., 1996) and local constraints (Kanthak et al., 2005) . Th... | 0 |
Word alignment (Brown et al., 1993; Vogel et al., 1996) is a fundamental task in the machine translation (MT) pipeline. To train good word alignment models, we require access to a large parallel corpus. However, collection of parallel corpora has mostly focused on a small number of widely-spoken languages. As such, res... | 0 |
Hindi is the official national language of the India and spoken by around 500 million Indians. Hindi is the world's fourth most commonly used language after Chinese, English and Spanish. Marathi is one of the widely spoken languages in India especially in the state of Maharashtra. Hindi and Marathi languages are derive... | 0 |
In this paper we examine the intonation of polar questions. Such questions may elicit an affirmative or negative reply concerning information which is totally new, i.e. where the speaker believes the information is not recoverable from the dialogue context. These are often referred to as information-seeking questions. ... | 0 |
Text classification generally consists of two processes: an encoder that converts texts to numerical representations and a classifier that estimates hidden relations between the representations and class labels. The text representations are generated using N -gram statistics (Wang and Manning, 2012) , word embeddings (... | 0 |
The task of automatically assigning the correct meaning to a given word or entity mention in a document is called word sense disambiguation (WSD) (Navigli, 2009) or entity linking (EL) (Bunescu and Pasca, 2006) , respectively. Successful disambiguation requires not only an understanding of the topic or domain a documen... | 0 |
Machine learning algorithms, particularly, deep learning techniques have led to the simplification of several computationally expensive tasks. However, training and optimizing these models for different tasks demand the experienced engineering resources and require expertise, making it difficult for non-experts. Automa... | 0 |
Neural language models (LMs) (Peters et al., 2018; Devlin et al., 2019; Raffel et al., 2019) that have been pre-trained by self-supervision on large corpora contain rich knowledge about the syntax and semantics of natural language (Tenney et al., 2019) , and are the basis of much recent work in NLP. Pretrained LMs also... | 0 |
Explainable question answering is the task of providing both answers to natural language questions, as well as detailed human-readable explanations justifying why those answers are correct. Question answering is typically approached using either retrieval or inference methods, where retrieval methods search for a singl... | 0 |
A major advance in speech processing technology is the ability of todays systems to deal with nonhomogeneous data as is exemplified by broadcast data. With the rapid expansion of different media sources, there is a pressing need for automatic processing of such audio streams. Broadcast audio is challenging as it contai... | 0 |
Permutation of elements in a construction, either within a single language or across languages, creating discontinuous semantic dependencies, is a widespread characteristic of natural languages that has motivated transformational rules (Chomsky 1957, passim) , among other expressive grammar formalisms. Steedman (2020) ... | 0 |
Arabic has a complex morphology compared to English. Words are inflected for gender, number, and sometimes grammatical case, and various clitics can attach to word stems. An Arabic corpus will therefore have more surface forms than an English corpus of the same size, and will also be more sparsely populated. These fact... | 0 |
Sentiment analysis (Pang et al., 2008) aims to recognize both subjectivity and polarity of texts, information that can be beneficial in various applications, including social studies (O'Connor et al., 2010) , marketing analyses (He et al., 2013) , and stock price prediction (Devitt and Ahmad, 2007) . In general, howeve... | 0 |
While the explicit identification of multiword expressions ("MWEs": Sag et al. (2002) , Baldwin and Kim (2009) ) has been shown to be useful in various NLP applications (Ramisch, 2012) , recent work has shown that automatic prediction of the degree of compositionality of MWEs also has utility, in applications including... | 0 |
With the growing popularity of virtual assistants (e.g., Alexa and Siri), information seeking through dialogues has attracted many researchers' attention. To facilitate research on conversational search (ConvS), Dalton et al. (2019) organized the TREC Conversational Assistance Track (CAsT) and defined ConvS as the task... | 0 |
Negation resolution (NR), the task of detecting negation and determining its scope, is relevant for a large number of applications in natural language processing, and has been the subject of several contrastive research efforts (Morante and Blanco, 2012; Fares et al., 2018) . In this paper we cast NR as a graph parsing... | 0 |
As more text becomes available electronically, it is tempting to imagine the development of automatic filters able to screen these tremendous flows of text extracting usefill bits of information. In order to properly filter, it is useful to know when two words are similar in a corpus. Knowing this would allcviate part ... | 0 |
Question Answering (QA) is a text mining task for which several systems have been proposed (Hirschman and Gaizauskas, 2001 ). This task is particularly challenging in the biomedical domain since this is a complex subject as answers may not be as straightforward compared to other domains. However, clinical and health ca... | 0 |
Passage-level answer selection is one of the essential components in typical question answering (QA) systems. It can be defined as follows: Given a question and a pool of candidate passages, select the passages that contain the correct answer. The performance of the passage selection task is not only crucial to non-fac... | 0 |
By higher order anaphor, I mean expressions like each other, sometimes called basic higher order anaphors, and various complex expressions syntactically containing each other. These complex anaphors include Boolean compounds like each other and most students, each other and themselves and various modifications of each ... | 0 |
Interpreting radiology images (e.g., chest X-ray) and writing diagnostic reports are essential operations in clinical practice and normally requires considerable manual workload. Therefore, radiology report generation, which aims to automatically generate a free-text description based on a radiograph, is highly desired... | 0 |
Recent years have witnessed an increasing need for large-scale high-quality annotated corpora on complex Chinese linguistic information where no automated annotators are available. Annotation on multi-level data complex structural relationships in such linguistic frameworks as Systemic Functional Grammar (SFG) [1] and ... | 0 |
CL Research participated in four SENSEVAL-3 tasks: English all-words, English lexical sample, disambiguation of WordNet glosses, and automatic labeling of semantic roles. We also ran the latter two tasks, but since their test sets were generated blindly, our results did not involve use of any prior information.Our part... | 0 |
Bien qu'elle ait été la première application non-numérique de l'informatique, la traduction automatique a connu des débuts décevants, qui ont jeté un discrédit sur cette technologie pendant plusieurs décennies. Toutefois, des progrès ont été accomplis au cours des dernières années, en raison de l'avènement du Web dans ... | 0 |
Multi-label text classification (MLTC) is an important natural language processing task with applications in text categorization, information retrieval, web mining, and many other real-world scenarios (Zhang and Zhou, 2014; Liu et al., 2020) . In MLTC, each given document is associated with a set of labels which are of... | 0 |
Automatic editing of text by computer is an important application, which can help human writers to write better documents in terms of accuracy, fluency, etc. The task is easier and more practical than the automatic generation of texts from scratch and is attracting attention recently Yin et al., 2019) . In this paper, ... | 0 |
An information consumer aspiring to explore a new topic will often be faced with an extensive collection of texts from which to acquire knowledge. Confronted with these texts, the reader would have difficulty determining where to start reading and obtaining details about specific aspects of the topic. Addressing this w... | 0 |
Language generation is an important subtask of applications like machine translation, humancomputer dialogue, explanation, and summarization. The recurring need for generation suggests the usefulness of a general-purpose, domain-independent natural language generator (NLG). However, "plugin" generators available today,... | 0 |
Major depressive disorder is one of the most debilitating diseases experienced by individuals worldwide according to the World Health Organization (Mathers and Loncar, 2006; Centers for Disease Control and Prevention, 2012) . Major depressive disorder is clinically defined as experiencing one or more of the following s... | 0 |
Spelling checkers are now available for all major word processing systems. However, these spelling checkers only catch errors that result in misspelled words. If an error results in a different, but incorrect word, it will go undetected. For example, quite may easily be mistyped as quiet. Another type of error occurs w... | 0 |
A common assumption in machine learning is that training data and test data are independent and identically distributed (i.i.d.) . Unfortunately, this may not hold in practice and the test distribution might have drifted from the training distribution which can lead to a significant drop of performance in realworld app... | 0 |
Instructional texts, also equivalently called procedural texts, consist of a sequence of instructions, designed with some accuracy in order to reach an objective (e.g. assemble a computer). Procedural texts explain how to realize a certain goal by means of actions which are at least partially temporally organized.Proce... | 0 |
Distributional word representations (Mikolov et al., 2013) trained on large-scale corpora have rapidly become one of the most prominent component in modern NLP systems. In this context, the recent development of context-dependent embeddings (Peters et al., 2018; Devlin et al., 2019) has shown that such representations ... | 0 |
Sense disambiguation is essential for many language applications such as machine translation, information retrieval, and speech processing (Ide and Véronis, 1998) . Almost all of sense disambiguation methods are heavily dependant on manually compiled lexical resources. However these lexical resources often miss domain ... | 0 |
In constructing the Transportable English-Language Interface system (TELI). we have sought to respond to problems of both an applied and a scientific nature. Concerning the applied side of computational linguistics, we seek to redress the fact that many natural language prototypes, despite their sophistication and even... | 0 |
Traditionally, terminological resources have been designed as knowledge repositories and until recently the focus has been placed on finding ways to represent the knowledge conveyed by terms. In fact, in several terminological applications, terms are viewed as the linguistic components of knowledge structures (i.e. lin... | 0 |
The Spoken Dutch Corpus (Corpus Gesproken Nederlands; CGN) project is a five-year project that started in 1998 and aims to develop a corpus of 1,000 hours of speech originating from adult speakers of standard Dutch. The goals of the project have been set quite high. The corpus is to serve as a resource for Dutch, for u... | 0 |
Term extraction systems are now an integral part of the compiling of specialized dictionaries and updating of term banks. Several tools exist either for extracting or structuring terminology (see (Cabré et al., 2001 ) for a review of the current systems). Systems for identifying conceptual relationships are generally b... | 0 |
The ever increasing availability of public content on the Internet -including books, tweets, and blog posts -has implied in many new developments in several natural language processing (NLP) areas such as machine translation, sentiment analysis, and authorship attribution. Recently, advancements in the latter task have... | 0 |
Although machine translation (MT) systems are improving rapidly, the resulting translations may still require manual post-editing (PE) to achieve human-acceptable translation. Automatic post-editing (APE) is a method that aims to automatically correct errors in machine translated text before performing actual human pos... | 0 |
The availability of many chat forums reflects the formation of globally dispersed virtual communities, one of which is the very active and growing movement of Open Source Software (OSS) development. Working together in a virtual community in non-collocated environments, OSS developers communicate and collaborate using ... | 0 |
Recently, deep learning methodologies have dominated several research areas in natural language processing (NLP), such as machine translation, language understanding, and dialogue systems. However, most of applications usually utilize word-level embeddings to obtain semantics. Considering that natural language is highl... | 0 |
Although manual evaluation (Nenkova and Passonneau, 2004; Hardy et al., 2019 ) of text summarization is more reliable and interpretable, most research on text summarization employs automatic evaluations such as ROUGE (Lin, 2004) , ME-TEOR (Lavie and Agarwal, 2007) , MoverScore (Zhao et al., 2019) , and BERTScore (Zhang... | 0 |
The long-term goal of TIDES is to provide delivery of information on demand in real-time from live on-line sources. For IFE-Bio, the resources made available to the analyst include email, news groups, digital library resources, and eventually (in later versions), topic-specific segments from broadcast news. Because of ... | 0 |
Crowdsourcing offers the ability to utilize the power of human computation to generate data annotations that are needed to train various AI systems. For many practical supervised learning applications, it may be infeasible (or very expensive) to obtain objective and reliable labels due to many reasons such as varying s... | 0 |
Automatic Language Identification (ALI) is a well-studied field in computational linguistics, since early 1960's, where various methods achieved successful results for many languages. ALI is commonly framed as a categorization. 1 problem. However, the rapid growth and wide dissemination of social media platforms and ne... | 0 |
Conventional spoken dialogue systems (SDS) are expensive to build because many of the processing components require a substantial amount of handcrafting (Ward and Issar, 1994; Bohus and Rudnicky, 2009) . In the past decade, significant progress has been made in applying statistical methods to automate the speech unders... | 0 |
Modernization has awarded us with the technology capable of communicating with masses across huge distances in an instant by the touch of a single finger in our palms, the smartphone. With all this innovation every day, it is now more accessible than ever, even in the most rural parts of the world and at very reasonabl... | 0 |
Named Entity Recognition (NER), which aims at identifying text spans as well as their semantic classes, is an essential and fundamental Natural Language Processing (NLP) task. It is typically modeled as a sequence labeling problem, which can be effectively solved by RNN-based approach (Huang et al., 2015; Lample et al.... | 0 |
One of the main sources of errors in machine translation (MT) systems, specially for related languages, is the incorrect resolution of part-of-speech (PoS) ambiguities. Hidden Markov models (HMMs, Rabiner 1989) are the standard statistical approach (Cutting et al. 1992) to automatic PoS tagging. Typically, unsupervised... | 0 |
Transition-based constituent parsing employs sequences of local transition actions to construct constituent trees over sentences. There are two popular transition-based constituent parsing systems, namely bottom-up parsing (Sagae and Lavie, 2005; Zhang and Clark, 2009; Zhu et al., 2013; Watanabe and Sumita, 2015) and t... | 0 |
In recent years a lot of initiatives have emerged towards the RDF based representation of language data and the hereby opened possibility to publish those data in the Linked Open Data (LOD) cloud 1 . This development has been leading to the establishment of a specialized Linked Data (LD) cloud for language data. The ac... | 0 |
Recently, the field of machine translation has been changed by the emergence both of effective statistical methods to automatically train machine translation systems from translated text sources (so-called parallel corpora) and of reliable automatic evaluation methods.Machine translation systems can now be built and ev... | 0 |
Comparable corpora are composed of texts in different languages which are not translations but deal with the same subject matter and were produced in similar situations of communication so that there is a possibility to find translation pairs in the texts. Comparable corpora have been used mainly in the field of Cross-... | 0 |
Segmenting a stream of sounds into discrete words is one of the first tasks that children acquiring their native language have to tackle. Computational models of word segmentation enable us to study this problem in a controlled and detailed manner, allowing for example for an examination of the usefulness of different ... | 0 |
In countries where foreign-language films and series on television are routinely subtitled rather than dubbed, there is a considerable demand for efficiently produced subtitle translations. Although superficially it may seem that subtitles are not appropriate for automatic processing as a result of their literary chara... | 0 |
Real-world conversational speech data, also known in the designated fields of study as transcription of talk-in-interaction, is complex. Talk can be transcribed in varying level of detail and symbolic representations of elements in talk range from simple word-level transcripts to fine-grained phonetic representations a... | 0 |
Consider yourself standing in your kitchen and having your robot assist you in preparing tonight's meal. You then give it the instruction: 'fetch the bowl next to the bread knife!'. For the robot to correctly perform your intended instruction, which is grounded in your world representation, it must correctly ground you... | 0 |
Given an input source document, summarization systems produce a condensed summary which can be either informative or indicative. Informative summaries try to convey all the important points of the document (Kan et al., 2002 (Kan et al., , 2001b , while indicative summaries hint at the topics of the document, pointing t... | 0 |
In statistical Machine Translation (MT), the state-ofthe-art approach is to translate phrases in the context of a sentence and to re-order those phrases appropriately. Intuitively, it seems as if it should also be possible to draw on information outside of a single sentence to further improve translation quality. In th... | 0 |
American Sign Language (ASL) is the primary means of communication for about one-half million deaf people in the U.S. (Mitchell et al., 2006) . ASL has a distinct word-order, syntax, and lexicon from English; it is not a representation of English using the hands. Although reading is part of the curriculum for deaf stud... | 0 |
Korean has a grammaticalized category of postpositions that includes highly polysemous morphemes that mediate semantic relationships between content words. On their own, they represent humble grammatical markers on nominals, but they play a whale of a role in piecing together the meaning of a sentence. Much like Englis... | 0 |
Authorship attribution (AA) refers to the task of analyzing a document to identify the potential author who wrote the text. Earlier work on this problem involved gathering statistics about the frequency of words with specific length, together with other stylistic characteristics extracted from written samples that were... | 0 |
Evaluation is a topic that is currently attracting a great deal of interest in the Natural Language Processing community. 1 The science of evaluation is however, relatively speaking, in its infancy. Historically, the United States have been ahead of Europe with their ARPA and DARPA Speech and Natural Language program w... | 0 |
Recent progress in automatic image captioning has shown that an image-conditioned language model can be very effective at generating captions. Two leading approaches have been explored for this task. The first decomposes the problem into an initial step that uses a convolutional neural network to predict a bag of words... | 0 |
Task-completion dialogue policy learning aims to build a task-completion dialogue system that can help people complete a specific single task or multidomain tasks through several rounds of natural language interactions. It has been widely used in chat robots and personal voice assistants, such as Siri of Apple and Cort... | 0 |
Multi-hop reading comprehension (RC) requires reading and aggregating information over multiple pieces of textual evidence (Welbl et al., 2017; Yang et al., 2018; Talmor and Berant, 2018) . In this work, we argue that it can be difficult to construct large multi-hop RC datasets. This is because multi-hop reasoning is a... | 0 |
Cross-language Information Retrieval (CLIR) applications aimed at accessing information on the web in several languages is attracting many important players in the Information Retrieval (IR) field, such as Google and Microsoft. Typically in CLIR applications, information is searched by means of a query expressed in the... | 0 |
When disaster strikes, news and social media are invaluable sources of information, allowing humanitarian organizations to rapidly mitigate crisis situations and save lives (Vieweg et al., 2010; Neubig et al., 2011; Starbird et al., 2012) . However, language barriers looms large over these efforts, especially when disa... | 0 |
Supervised learning approaches have advanced the state of the art on a variety of tasks in natural language processing, often resulting in systems approaching the level of inter-annotator agreement on in-domain data, e.g. in POS tagging, where Shen et al. (2007) report a tagging accuracy of 97.3%. However, performance ... | 0 |
Recently, various knowledge bases (KBs), such as Freebase (Bollacker et al., 2008) , WordNet (Miller, 1995) , Yago (Hoffart et al., 2013) , have been built, and researchers begin to explore how to make use of structural information to promote performances of several inference-based NLP applications, such as text entail... | 0 |
In recent years, a number of translation approaches have been proposed to provide for reliable meaningful translation of text and of speech from one language to another. These include direct approaches (statistical, example-based), transfer and interlingua based approaches. Translation performance is usually the one (i... | 0 |
The importance of coreference resolution for the entity/event detection task, namely identifying all mentions of entities and events in text and clustering them into equivalence classes, has been well recognized in the natural language processing community. Automatic identification of coreferring entities and events in... | 0 |
Relation Extraction is a fundamental task in natural language processing (NLP), which aims to extract semantic relations between entities. For example, sentence "[Barack Obama] e1 was born in [Hawaii] e2 " expresses the relation BornIn between entity pair Barack Obama and Hawaii.Conventional relation extraction methods... | 0 |
Elementary discourse unit or EDU is a building block that can combine together to form a larger unit or structure in discourse. It is significant to applications that process discourse such as text summarization, machine translation, text generation, and discourse parsing. In some applications e.g. text summarization a... | 0 |
In traditional philosophy, human beings are known to acquire knowledge mainly by reasoning and experience. Reasoning allows us to draw a conclusion based on evidence, but people tend to believe it firmly when they experience or observe it in the physical world. Despite the fact that direct experiences play a crucial ro... | 0 |
State-of-the-art approaches to inducing part-ofspeech (POS) taggers and dependency parsers only scale to a small fraction of the world's ∼6,900 languages. The major bottleneck is the lack of manually annotated resources for the vast majority of these languages, including languages spoken by millions, such as Marathi (7... | 0 |
The translation of TED conference talks 1 is an emerging task in the statistical machine translation (SMT) community . The variety of topics covered by the speeches, as well as their specific language style, make this a very challenging problem.Fixed expressions, colloquial terms, figures of speech and other phenomena ... | 0 |
Aromanian, according to linguists (Papahagi, 1974) or (Saramandu, 1984) is part of a larger family of Eastern Romance languages consisting from Daco-Romanian (standard Romanian), Aromanian, Megleno-Romanian and Istro-Romanian. We underline this characteristic because some of the linguistic properties that are present i... | 0 |
Semantic content can almost always be expressed in a variety of ways. Lexical synonymy (She esteemed him highly vs. She respected him greatly), syntactic variation (John paid the bill vs. The bill was paid by John), overlapping meanings (Anna turned at Elm vs. Anna rounded the corner at Elm), and other phenomena intera... | 0 |
Sequence labeling tasks, such as Chinese word segmentation (CWS), POS tagging (POS) and named entity recognition (NER), are fundamental tasks in natural language processing. Recently, with the development of deep learning, neural sequence labeling approaches have achieved pretty high accuracy , relying on large-scale a... | 0 |
The NER task was first introduced as Message Understanding Conference (MUC) subtask in 1995 (MUC-6). Named Entities were defined as entity names (organizations, persons and locations), temporal expressions (dates and times) and number expressions (monetary values and percentages). Compared with the entity name recognit... | 0 |
Co-reference resolution requires models to cluster mentions that refer to the same physical entities. The models based on neural networks typically require different levels of semantic representations of input sentences. The models usually need to calculate the representations of word spans, or mentions, given pre-trai... | 0 |
Parallel texts aligned on the word level have a number of potential uses. Given suitable browsing and search tools, linguists can use aligned parallel corpora in the same way that they already use monolingual corpora, i.e. as a rich source of authentic language data, in this case data on translation equivalence (see, e... | 0 |
Names and Out Of Vocabulary (OOV) terms appear very frequently in written and spoken text and hence play a very important role in several Natural Language Processing applications. Several studies have shown that handling names correctly across languages can significantly improve the performance of CLIR Systems (Mandl a... | 0 |
Technical terms are linguistic realization of a domain specific concept and their constituents are a component used for representing the concept (Sager, 1997) . Technical terms can be classified into single-word terms, and complex term (or multi-word term) according to the number of their constituents. Single-word term... | 0 |
Customer care is one of the application domains where Dialogue Systems (DSs) represent an emerging technology used by many big companies to satisfy customer requests (MITTR, 2018) . Customer care dialogues can have a specific linguistic characterization (Oraby et al., 2019) , and often the customer preferences lean tow... | 0 |
In recent years, neural network-based approaches have been increasingly promising in the context of goal-oriented Natural Language Generation (NLG). These approaches can effectively learn to generate responses of desired complexity and detail from unaligned data. Additionally, these approaches can be scaled with relati... | 0 |
Automated conversational agents are becoming popular for various tasks, such as personal assistants, shopping assistants, or as customer service agents. Automated agents benefit from adapting their personality according to the task at hand (Reeves and Nass, 1996; Tapus and Mataric, 2008) or to the customer (Herzig et a... | 0 |
The use of categorical attributes (e.g., user, topic, aspects) in the sentiment analysis community (Kim and Hovy, 2004; Pang and Lee, 2007; Liu, 2012) is widespread. Prior to the deep learning era, these information were used as effective categorical features Tan et al., 2011; Gao et al., 2013; Park et al., 2015) for t... | 0 |
Analyzing written dialogs (such as email exchanges) to extract social power relations has generated great interest recently. This paper introduces a new task within the general field of finding power relations in written dialogs. In written dialog, an utterance can represent an overt display of power (ODP) on the part ... | 0 |
Applications of Natural Language Generation (NLG) in the medical domain have been manifold. A new area where NLG could contribute to the improvement of services and to patient safety is prehospital care: care delivered to a patient before arrival at hospital. There are many challenges in delivering pre-hospital care, m... | 0 |
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