Articles

Web-based tools and workflow engines can often not be applied to data with restrictive property rights and to big data. In both cases, it is better to move the tools to the data rather than having the data travel to the tools. In this paper, we report on the progress …...

Terms are notoriously difficult to identify, both automatically and manually. This complicates the evaluation of the already challenging task of automatic term extraction. With the advent of multilingual automatic term extraction from comparable corpora, accurate evaluation becomes increasingly difficult, since term linking must be evaluated as well as term extraction. …...

In mid-2017, as part of our activities within the TEI Special Interest Group for Linguists (LingSIG), we submitted to the TEI Technical Council a proposal for a new attribute class that would gather attributes facilitating simple token-level linguistic annotation. With this proposal, we addressed community feedback complaining about the lack …...

This paper presents an approach to the annotation of quantification that is being developed in preparation of the specification of a quantification annotation scheme, as part of an effort of the International Organisation for Standardisation ISO to define interoperable semantic annotation schemes. The paper focuses on the theoretical basis for …...

The production of speech corpora typically involves manual labor to verify and correct the output of automatic transcription/segmentation processes. This study investigates the possibility of speeding up this correction process using techniques borrowed from automatic speech recognition to predict the location of transcription or segmentation errors in the signal. This …...

Due to the spread of social media-based applications and the challenges posed by the treatment of social media texts in NLP tools, tailored approaches and ad hoc resources are required to provide the proper coverage of specific linguistic phenomena. Various attempts to produce this kind of specialized resources and tools …...

The locations in a tweet do not always indicate spatial information involving the author of the tweet. In this paper, we investigate whether authors are located or not located in the locations they tweet about, and temporally anchor this spatial information in the tweet timestamp. Specifically, we work with temporal …...

The rise in accessibility of web to the mass has led to a spurt in the use of social media making it convenient and powerful way to express and exchange information in their own language(s). India, being enormously diversified country have more than 168 millions users on social media. This …...

Web 2.0 has brought with it numerous user-produced data revealing one’s thoughts, experiences, and knowledge, which are a great source for many tasks, such as information extraction, and knowledge base construction. However, the colloquial nature of the texts poses new challenges for current natural language processing techniques, which are more …...

Social tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. Such information can be valuable in building automatic systems to create tags for movies. Automatic tagging systems can help recommendation engines to improve the retrieval of …...

Movie and TV subtitles are a highly valuable resource for the compilation of parallel corpora thanks to their availability in large numbers and across many languages. However, the quality of the resulting sentence alignments is often lower than for other parallel corpora. This paper presents a new major release of …...

Automatic caption generation of images has gained significant interest. It gives rise to a lot of interesting image-related applications. For example, it could help in image/video retrieval and management of vast amount of multimedia data available on the Internet. It could also help in development of tools that can aid …...

We introduce a new general framework for sign recognition from monocular video using limited quantities of annotated data. The novelty of the hybrid framework we describe here is that we exploit state-of-the art learning methods while also incorporating features based on what we know about the linguistic composition of lexical …...

Recent research in music-gesture relationship has paid more attention on the sound variations and its corresponding gesture expressive- ness. In this study we are interested by gestures performed by orchestral conductors, with a focus on the expressive gestures made by the non dominant hand. We make the assumption that these …...

We introduce SentEval, a toolkit for evaluating the quality of universal sentence representations. SentEval encompasses a variety of tasks, including binary and multi-class classification, natural language inference and sentence similarity. The set of tasks was selected based on what appears to be the community consensus regarding the appropriate evaluations for …...

WordNets – lexical databases in which groups of synonyms are arranged according to the semantic relationships between them – are crucial resources in semantically-focused natural language processing tasks, but are extremely costly and labour intensive to produce. In languages besides English, this has led to growing interest in constructing and …...

We release to the community six large-scale sense-annotated datasets in multiple language to pave the way for supervised multilingual Word Sense Disambiguation. Our datasets cover all the nouns in the English WordNet and their translations in other languages for a total of millions of sense-tagged sentences . Experiments prove that …...

Semantic parsing offers many opportunities to improve natural language understanding. We present a semantically annotated parallel corpus for English, German, Italian, and Dutch where sentences are aligned with scoped meaning representations in order to capture the semantics of negation, modals, quantification, and presupposition triggers. The semantic formalism is based on …...

Meaning Representation of Constructions: The More We Include, the Better the Representation Claire Bonial,1 Bianca Badarau,2 Kira Griffitt,3 Ulf Hermjakob,4 Kevin Knight,4 Tim O’Gorman,5 Martha Palmer,5 Nathan Schneider6 1U.S. Army Research Laboratory, 2SDL, 3Linguistic Data Consortium, 4USC Information Sciences Institute, 5University of Colorado, 6Georgetown University claire.n.bonial.civ@mail.mil Abstract We describe the …...

We present two types of semantic annotation developed for the DARPA Low Resource Languages for Emerging Incidents (LORELEI) program: Simple Semantic Annotation (SSA) and Situation Frames (SF). Both of these annotation approaches are concerned with labeling basic semantic information relevant to humanitarian aid and disaster relief (HADR) scenarios, with SSA …...