Articles

The availability of multi-modal datasets that pair images and textual descriptions of their content has been a crucial driver in progress of various text-image tasks such as automatic captioning and text-to-image retrieval. In this paper, we present FEIDEGGER, a new multi-modal corpus that focuses specifically on the domain of fashion …...

In this paper, we present a double annotation system for new handwritten historical documents. We have 25,250 pages of registers of the Italian Comedy of the 18th century containing a great variety and amount of information. A crowdsourcing platform has been set up in order to perform labeling and transcription …...

Vocabulary knowledge prediction is an important task in lexical text simplification for foreign language learners (L2 learners). However, previously studied methods that use hand-crafted rules based on one or two word features have had limited success. A recent study hypothesized that a supervised learning classifier trained on a large annotated …...

Public parallel corpora of dialects can accelerate related studies such as spoken language processing. Various corpora have been collected using a well-equipped recording environment, such as voice recording in an anechoic room. However, due to geographical and expense issues, it is impossible to use such a perfect recording environment for …...

The paper presents our approach towards building a tool for speech corpus collection of a specific domain content. We describe our iterative approach to the development of this tool, with focus on the most problematic issues at each working stage. Our latest version synchronizes VoIP call management and recording with …...

In this paper, we describe a parallel corpus annotated with full coreference chains that has been created to address an important problem that machine translation and other multilingual natural language processing (NLP) technologies face – translation of coreference across languages. Recent research in multilingual coreference and automatic pronoun translation has …...

This paper presents ANCOR-AS, an enriched version of the ANCOR corpus. This version adds syntactic annotations in addition to the existing coreference and speech transcription ones. This corpus is also released in a new TEI-compliant XML format. Keywords: Coreference, Parsing, Oral Data, TEI 1....

Coreference resolution has always been a challenging task in Natural Language Processing. Machine learning and semantic techniques have improved the state of the art over the time, though since a few years, the biggest step forward has been made using deep neural networks. In this paper, we describe Sanaphor++, which …...

Continuous representations for words or phrases, trained on large unlabeled corpora are proved very useful for many natural language processing tasks. While these vector representations capture many fine-grained syntactic and semantic regularities among words or phrases, it often lacks coreferential information which is useful for many downstream tasks like information …...

In this paper we introduce SzegedKoref, a Hungarian corpus in which coreference relations are manually annotated. For annotation, we selected some texts of Szeged Treebank, the biggest treebank of Hungarian with manual annotation at several linguistic layers. The corpus contains approximately 55,000 tokens and 4000 sentences. Due to its size, …...

The paper presents several configurations of deep neural networks aimed at the task of coreference resolution for Polish. Starting with the basic feature set and standard word embedding vector size we examine the setting with larger vectors, more extensive sets of mention features, increased number of negative examples, Siamese network …...

This paper introduces SACR, an easy-to-use coreference chain annotation tool, which is used to annotate large corpora for Natural Language Processing (NLP) applications. Coreference annotation is usually considered as costly both in terms of time and human resources. So, in order to find the easiest annotation strategy, we will first …...

This paper presents a corpus resource for the anaphoric phenomenon of bridging, named BASHI. The corpus consisting of 50 Wall Street Journal (WSJ) articles adds bridging anaphors and their antecedents to the other gold annotations that have been created as part of the OntoNotes project (Weischedel et al., 2011). Bridging …...

This paper presents the integration of RelaxCor into FreeLing. RelaxCor is a coreference resolution system based on constraint satisfaction that ranked second in the CoNLL-2011 shared task. FreeLing is an open-source library for NLP with more than fifteen years of existence and a widespread user community. We present the difficulties …...

Children’s books are generally designed for children of a certain age group. For underage children or children with reading disorders, like dyslexia, there may be passages of the books that are difficult to understand. This can be due to words not known in the vocabulary of underage children, to words …...

Learning a second language is a task that requires a good amount of time and dedication. Part of the process involves the reading and writing of texts in the target language, and so, to facilitate this process, especially in terms of reading, teachers tend to search for texts that are …...

In this paper, we present the design of a bilingual corpus of French learners of Korean and Korean learners of French using the same experimental design. This language resource contains mainly speech data, gathered among learners with different proficiency levels and in different speaking contexts (read and spontaneous speech). We …...

In this paper, we combine several NLP-functionalities to organize examples drawn from corpora. The application’s primary target audience are language learners. Currently, authentic linguistic examples for a given keyword search are often organized alphabetically according to context. From this, it is not always clear which contextual regularities actually exist on …...

This paper presents a two-step methodology to annotate temporally-anchored spatial knowledge on top of OntoNotes. We first generate potential knowledge using syntactic dependencies, and then crowdsource annotations to validate the potential knowledge. The resulting annotations indicate how long entities are or are not located somewhere, and temporally anchor this information. …...

In this article we review Temporal Processing systems that participated in the TempEval-3 task as a basis to develop our own system, that we also present and release. The system incorporates high level lexical semantic features, obtaining the best scores for event detection (F1-Class 72.24) and second best result for …...