Articles

We investigate implicit corrections in the form of contrastive discourse in child- adult interaction, which have been argued to contribute to language learning. In con- trast to previous work in psycholinguis- tics, we adopt a data-driven methodol- ogy, using comparably large amounts of data and leveraging computational meth- ods. We …...

Most automatic text summarization sys- tems proposed to date rely on centrality and structural features as indicators for information importance. In this paper, we argue that these features cannot reli- ably detect important information in het- erogeneous document collections. Instead, we propose CPSum, a summarizer that learns the importance of …...

Semantic scripts is a conceptual represen- tation which defines how events are orga- nized into higher level activities. Practi- cally all the previous approaches to induc- ing script knowledge from text relied on count-based techniques (e.g., generative models) and have not attempted to compo- sitionally model events. In this work, …...

Domain-independent meaning representa- tion of text has received a renewed in- terest in the NLP community. Compar- ison plays a crucial role in shaping ob- jective and subjective opinion and mea- surement in natural language, and is of- ten expressed in complex constructions in- cluding ellipsis. In this paper, we …...

Context representations are central to vari- ous NLP tasks, such as word sense disam- biguation, named entity recognition, co- reference resolution, and many more. In this work we present a neural model for efficiently learning a generic context em- bedding function from large corpora, us- ing bidirectional LSTM. With a …...

Knowledge bases are useful resources for many natural language processing tasks, however, they are far from complete. In this paper, we define a novel entity rep- resentation as a mixture of its neighbor- hood in the knowledge base and apply this technique on TransE—a well-known embedding model for knowledge base …...

In this work, we propose a semi- supervised method for short text clus- tering, where we represent texts as dis- tributed vectors with neural networks, and use a small amount of labeled data to specify our intention for clustering. We design a novel objective to combine the representation learning process …...

The ability to capture time information is essential to many natural language pro- cessing and information retrieval applica- tions. Therefore, a lexical resource asso- ciating word senses to their temporal ori- entation might be crucial for the computa- tional tasks aiming at the interpretation of language of time in texts. …...

The standard recurrent neural network language model (rnnlm) generates sen- tences one word at a time and does not work from an explicit global sentence rep- resentation. In this work, we introduce and study an rnn-based variational au- toencoder generative model that incorpo- rates distributed latent representations of entire sentences. …...

This speech celebrates the 20th anniver- sary of the CoNLL conference and looks back 20 years before CoNLL and 20 years into the future in an attempt to paint a longterm roadmap of Computational Nat- ural Language Learning. The founders of CoNLL agonized hard and long over what to call …...

In this paper, we propose a method which uses semi-supervised convolutional neu- ral networks (CNNs) to select in-domain training data for statistical machine trans- lation. This approach is particularly effec- tive when only tiny amounts of in-domain data are available. The in-domain data and randomly sampled general-domain data are used …...

Discourse relations can either be implicit or explicitly expressed by markers, such as ’therefore’ and ’but’. How a speaker makes this choice is a question that is not well understood. We propose a psy- cholinguistic model that predicts whether a speaker will produce an explicit marker given the discourse relation …...

AbstractAs part of a human-robot interaction project, we are interested by gestural modality as one of many ways to communicate. In order to develop a relevant gesture recognition system associated to a smart home butler robot. Our methodology is based on an IQ game-like Wizard of Oz experiment to collect …...

AbstractIn this paper, we describe experiments on the morphosyntactic annotation of historical language varieties for the example of Middle Low German (MLG), the official language of the German Hanse during the Middle Ages and a dominant language around the Baltic Sea by the time. To our best knowledge, this is …...

AbstractThis paper presents the Event and Implied Situation Ontology (ESO), a manually constructed resource which formalizes the pre and post situations of events and the roles of the entities affected by an event. The ontology is built on top of existing resources such as WordNet, SUMO and FrameNet. The ontology …...

AbstractWe present the development of a Norwegian Academic Wordlist (AKA list) for the Norwegian Bokmäl variety. To identify specific academic vocabulary we developed a 100-million-word academic corpus based on the University of Oslo archive of digital publications. Other corpora were used for testing and developing general word lists. We tried …...

AbstractOntologies are powerful to support semantic based applications and intelligent systems. While ontology learning are challenging due to its bottleneck in handcrafting structured knowledge sources and training data. To address this difficulty, many researchers turn to ontology enrichment and population using external knowledge sources such as DBpedia. In this paper, …...

AbstractIn South-Asian languages such as Hindi and Urdu, action verbs having compound constructions and serial verbs constructions pose serious problems for natural language processing and other linguistic tasks. Urdu is an Indo-Aryan language spoken by 51, 500, 0001 speakers in India. Action verbs that occur spontaneously in day-to-day communication are …...

AbstractIn this paper we describe our work in building an online tool for manually annotating texts in any spoken language with SignWriting in any sign language. The existence of such tool will allow the creation of parallel corpora between spoken and sign languages that can be used to bootstrap the …...

AbstractThe term smart home refers to a living environment that by its connected sensors and actuators is capable of providing intelligent and contextualised support to its user. This may result in automated behaviors that blends into the user’s daily life. However, currently most smart homes do not provide such intelligent …...