Articles

This paper describes the development of webportals with search applications built in order to make the data from the 33 volumes of the Dictionary of the Brabantic dialects (1967-2005) and the 39 volumes of the Dictionary of the Limburgian dialects (1983-2008) accessible and retrievable for both the research community and …...

Information about the location of an action is often implicit in text, as humans can infer it based on common sense knowledge. Today’s NLP systems however struggle with inferring information that goes beyond what is explicit in text. Selectional preference estimation based on large amounts of data provides a way …...

A sampling survey of typology and component ratio analysis in Japanese puns revealed that the type of Japanese pun that had the largest proportion was a pun type with two sound sequences, whose consonants are phonetically close to each other in the same sentence which includes the pun. Based on …...

We propose approaches that use information retrieval methods for the automatic calculation of CO2-footprints of cooking recipes. A particular challenge is the “long tail problem” that arises with the large diversity of possible ingredients. The proposed approaches are generalizable to other use cases in which a numerical value for semi-structured …...

Humans resolve various kinds of linguistic ambiguities by exploiting available external evidence that has been acquired from modalities besides the linguistic one. This behavior can be observed for several languages, for English or German for example. In contrast, most natural language processing systems, parsers for example, rely on linguistic information …...

In this paper, we present a new large manually-annotated multi-dialect dataset of Arabic tweets that is publicly available. The Dialectal ARabic Tweets (DART) dataset has about 25K tweets that are annotated via crowdsourcing and it is well-balanced over five main groups of Arabic dialects: Egyptian, Maghrebi, Levantine, Gulf, and Iraqi. …...

In this paper we use a novel approach towards Arabic dialect identification using language bivalency and written code-switching. Bivalency between languages or dialects is where a word or element is treated by language users as having a fundamentally similar semantic content in more than one language or dialect. Arabic dialect …...

Distant supervision has been widely used in the task of relation extraction (RE). However, when we carefully examine the experimental settings of previous work, we find two issues: (i) The compared models were trained on different training datasets. (ii) The existing testing data contains noise and bias issues. These issues …...

We propose a pipeline through which to derive clusters of dialects, given a mixed corpus composed of different dialects, when their standard counterpart is sufficiently resourced. The test case is Japanese, where the written standard language is sufficiently equipped with adequate resources. Our method starts by detecting non-standard contents first, …...

We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge. Our dataset complements similar datasets in that we focus on stories about everyday activities, such as going to the movies or working …...

The increased demand for structured knowledge has created considerable interest in relation extraction (RE) from large collections of documents. In particular, distant supervision can be used for RE without manual annotation costs. Nevertheless, this paradigm only extracts relations from individual sentences that contain two target entities. This paper explores the …...

Questions play an important role in the educational domain, representing the main form of interaction between instructors and students. In this paper, we introduce the first taxonomy and annotated educational corpus of questions that aims to help with the analysis of student responses. The dataset can be employed in approaches …...

Studying citation patterns of scholarly articles has been of interest to many researchers from various disciplines. While the relationship of citations and scientific impact has been widely studied in the literature, in this paper we develop the idea of analyzing the semantic distance of scholarly articles in a citation network …...

Detecting novelty of an entire document is an Artificial Intelligence (AI) frontier problem. This has immense importance in widespread Natural Language Processing (NLP) applications ranging from extractive text document summarization to tracking development of news events to predicting impact of scholarly articles. Although a very relevant problem in the present …...

Cross-lingual document classification aims at training a document classifier on resources in one language and transferring it to a different language without any additional resources. Several approaches have been proposed in the literature and the current best practice is to evaluate them on a subset of the Reuters Corpus Volume …...

Lexical borrowing happens in almost all languages. To obtain more bilingual knowledge from monolingual corpora, we propose a neural network based loanword identification model for Uyghur. We build our model on a bidirectional LSTM - CNN framework, which can capture past and future information effectively and learn both word level …...

The lack of hand curated data is a major impediment to developing statistical semantic processors for many of the world languages. Our paper aims to bridge this gap by leveraging existing annotations and semantic processors from multiple source languages by projecting their annotations via the statistical word alignments traditionally used …...

Anaphora resolution is a complex process in which multiple linguistic factors play a role, and this is witnessed by a large psycholinguistic literature. This literature is based on experiments with hand-constructed items, which have the advantage to filter influences outside the scope of the study, but, as a downside, make …...

We constructed a large annotated dataset of zero pronouns that correspond to adjuncts marked by -de (translated to English as in, at, by or with) in Japanese. Adjunct zero anaphora resolution plays an important role in extracting information such as location and means from a text. To our knowledge, however, …...

We present intertextual correspondence (ITC) as an integrative technique for combining annotated text corpora. The topical correspon- dence between different texts can be exploited to establish new annotation connections between existing corpora. Although the general idea should not be restricted to one particular theoretical framework, we explain how the annotation …...