Articles

Implicit discourse relation recognition remains a challenging task as state-of-the-art approaches reach F1 scores ranging from 9.95% to 37.67% on the 2016 CoNLL shared task. In our work, we explore the use of a neural network which exploits the strong correlation between pairs of words across two discourse arguments that …...

This paper describes the Spot the Difference Corpus which contains 54 interactions between pairs of subjects interacting to find differences in two very similar scenes. The setup used, the participants’ metadata and details about collection are described. We are releasing this corpus of task-oriented spontaneous dialogues. This release includes rich …...

We discuss and evaluate a new annotation scheme and discourse-analytic method, the QUD-tree framework. We present an annotation study, in which the framework, based on the concept of Questions under Discussion, is applied to English and German interview data, using TreeAnno, an annotation tool specially developed for this new kind …...

This paper describes ongoing work on a multimodal resource based on the Allen Institute AI2 Diagrams (AI2D) dataset, which contains nearly 5000 grade-school level science diagrams that have been annotated for their elements and the semantic relations that hold between them. This emerging resource, named AI2D-RST, aims to provide a …...

Discourse structure analysis is an important research topic in natural language processing. Discourse structure analysis not only helps to understand the discourse structure and semantics, but also provides strong support for deep applications of natural language processing, such as automatic summarization, statistical machine translation, question and answering, etc. At present, …...

We introduce TED-Multilingual Discourse Bank, a corpus of TED talks transcripts in 6 languages (English, German, Polish, European Portuguese, Russian and Turkish), where the ultimate aim is to provide a clearly described level of discourse structure and semantics in multiple languages. The corpus is manually annotated following the goals and …...

This paper contributes to the research field of multichannel discourse analysis. Multimodal discourse analysis explores numerous channels involved in natural communication, such as verbal structure, prosody, gesticulation, facial expression, eye gaze, etc., and treats them as parts of an integral process. Among the key issues in multichannel studies is the …...

The availability of automated approaches and tools to extract structured textual content from PDF articles is essential to enable scientific text mining. This paper describes and evaluates the PDFdigest tool, a PDF-to-XML textual content extraction system specially designed to extract scientific articles’ headings and logical structure (title, authors, abstract,...) and …...

The TERRE-ISTEX project aims to identify scientific research dealing with specific geographical territories areas based on hetero- geneous digital content available in scientific papers. The project is divided into three main work packages: (1) identification of the periods and places of empirical studies, and which reflect the publications resulting from …...

The goal of this paper is to propose measures of innovation through the study of publications in the field of speech and language processing. It is based on the NLP4NLP corpus, which contains the articles published in major conferences and journals related to speech and language processing over 50 years …...

Analyzing and recommending citations within their specific citation contexts has recently received much attention due to the growing number of available publications. Although data sets such as CiteSeerX have been created for evaluating approaches for such tasks, those data sets exhibit striking defects. This is understandable when one considers that …...

In this paper, the problem of recovery of morphological information lost in abbreviated forms is addressed with a focus on highly inflected languages. Evidence is presented that the correct inflected form of an expanded abbreviation can in many cases be deduced solely from the morphosyntactic tags of the context. The …...

The Universal Morphology (UniMorph) project is a collaborative effort to improve how NLP handles complex morphology across the world’s languages. The project releases annotated morphological data using a universal tagset, the UniMorph schema. Each inflected form is associated with a lemma, which typically carries its underlying lexical meaning, and a …...

We introduce UDLexicons, a multilingual collection of morphological lexicons that follow the guidelines and format of the Universal Dependencies initiative. We describe the three approaches we use to create 53 morphological lexicons covering 38 languages, based on existing resources. These lexicons, which are freely available, have already proven useful for …...

In this work we focus on a particular linguistic phenomenon, ellipsis, and explore the latest parsers in order to learn about parsing accuracy and typical errors from the perspective of elliptical constructions. For this purpose we collected and processed outputs of several state-of-the art parsers that took part in the …...

The paper presents a semi-automatic method for the construction of derivational networks. The proposed approach applies a sequential pattern mining technique in order to construct useful morphological features in an unsupervised manner. The features take the form of regular expressions and later are used to feed a machine-learned ranking model. …...

This paper reports on developments in the Składnica treebank of Polish which were possible due to the switch to the Walenty valency dictionary. The change required several modifications in the Świgra parser, such as implementing unlike coordination, semantically motivated phrases, and non-standard case values. A procedure to upgrade manually disambiguated …...

We present a corpus development project which builds a corpus in Bangla called the Bangla RST Discourse Treebank. The corpus contains a collection of 266 Bangla text, which are annotated for coherence relations (relations between propositions, such as Cause or Evidence). The texts represent the newspaper genre, which is further …...

In this paper, we are presenting our work to build Universal Dependencies (UD) resources for Japanese. The UD Japanese resources are built based on automatic conversion from several treebanks. The word delimitation, POS, and syntactic relations of the existing treebanks are ported for the UD annotation scheme. We discuss the …...

We present DEPCC, the largest-to-date linguistically analyzed corpus in English including 365 million documents, composed of 252 billion tokens and 7.5 billion of named entity occurrences in 14.3 billion sentences from a web-scale crawl of the COMMON CRAWL project. The sentences are processed with a dependency parser and with a …...