Articles

We present PALMYRA, a platform independent graphical dependency tree visualization and editing software. PALMYRA has been specifically designed to support the complexities of syntactic annotation of morphologically rich languages, especially regarding easy change of morphological tokenization through edits, additions, deletions, splits and merges of words. PALMYRA uses an intuitive drag- …...

Treebanks exist for many different languages, but they are often quite limited in terms of size, genre, and topic coverage. It is difficult to expand these treebanks or to develop new ones in part because manual annotation is time-consuming and expensive. Human-in-the-loop methods that leverage machine learning algorithms during the …...

Previous work leveraged annotation projection as a convenient method to automatically generate linguistic resources such as treebanks or propbanks for new languages. This approach automatically transfers linguistic annotation from a resource-rich source language (SL) to translations in a target language (TL). However, to the best of our knowledge, no publicly …...

Since the idea of combining Lexicalized Tree Adjoining Grammars (LTAG) and frame semantics was proposed (Kallmeyer and Osswald, 2013), a set of resources of this type has been created. These grammars are composed of pairs of elementary trees and frames, where syntactic and semantic arguments are linked using unification variables. …...

We present a new web-based corpus query tool, the Adjective Exploration Tool (AET), which enables research on the modificational behavior of German adjectives and adverbs. The tool can also be transferred to other languages and modification phenomena. The underlying database is derived from a corpus of German print media texts, …...

Complement phrases are essential for constructing well-formed sentences in German. Identifying verb complements and categorizing complement classes is challenging even for linguists who are specialized in the field of verb valency. Against this background, we introduce an ML-based algorithm which is able to identify and classify complement phrases of any …...

Dependency treebank is an important resource in any language. In this paper, we present our work on building BKTreebank, a dependency treebank for Vietnamese. Important points on designing POS tagset, dependency relations, and annotation guidelines are discussed. We describe experiments on POS tagging and dependency parsing on the treebank. Experimental …...

Expanding online archives of presentation recordings provide potentially valuable resources for learning and research. However, the huge volume of data that is becoming available means that users have difficulty locating material which will be of most value to them. Conventional summarisation methods making use of text-based features derived from transcripts …...

This paper presents a new corpus, called EMOLY (EMOtion and AnomaLY), composed of speech and facial video records of subjects that contains controlled anomalies. As far as we know, to study the problem of anomaly detection in discourse by using machine learning classification techniques, no such corpus exists or is …...

This article presents the WAW Corpus, an interpreting corpus for English/Arabic, which can be used for teaching interpreters, studying the characteristics of interpreters’ work, as well as to train machine translation systems. The corpus contains recordings of lectures and speeches from international conferences, their interpretations, the transcripts of the original …...

In this paper we present a framework for evaluating interactions between a human user and an embodied virtual agent that communicates using natural language, gesture, and by executing actions in a shared context created through a visual simulation interface. These inter- actions take place in real time and demonstrate collaboration …...

The paper presents a new dataset of image descriptions in Polish. The descriptions are morphosyntactically analysed and the pairs of these descriptions are annotated in terms of semantic relatedness and entailment. All annotations are provided by human annotators with strong linguistic background. The dataset can be used for evaluation of …...

Multimodal representations are distributed vectors that map multiple modes of information to a single mathematical space, where distances between instances delineate their similarity. In most cases, using a single unimodal representation technique is sufficient for each mode in the creation of multimodal spaces. In this paper, we investigate how different …...

We present a corpus of multimodal spatial descriptions, as commonly occurring in route giving tasks. Participants provided natural spatial scene descriptions with speech and abstract deictic/iconic hand gestures. The scenes were composed of simple geometric objects. While the language denotes object shape and visual properties (e.g., colour), the abstract deictic …...

In this paper, we describe the initial stages of our project, the goal of which is to create an integrated archive of the recordings, scanned documents, and photographs that would be accessible online and would provide multifaceted search capabilities (spoken content, biographical information, relevant time period, etc.). The recordings contain …...

In this paper, we present a new Python 3 module named PyRATA, which stands for "Python Rule-based feAture sTructure Analysis". The module is released under the Apache V2 license. It aims at supporting rules-based analysis on structured data. PyRATA offers a language expressiveness which covers the functionalities of all the …...

In this article, we describe FrNewsLink, a corpus allowing to address several applicative tasks that we make publicly available. It gathers several resources from TV Broadcast News (TVBN) shows and press articles such as automatic transcription of TVBN shows, text extracted from on-line press articles, manual annotations for topic segmentation …...

This paper describes a test collection for evaluating systems that search English SMS (Short Message Service) conversations. The collection is built from about 120,000 text messages. Topic development involved identifying typical types of information needs, then generating topics of each type for which relevant content might be found in the …...

It is widely recognized that the ability to exploit Natural Language Processing (NLP) text mining strategies has the potential to increase productivity and innovation in the sciences by orders of magnitude, by enabling scientists to pull information from research articles in scientific disciplines such as genomics and biomedicine. The Language …...

Since most documents have temporal information that can be a basis for understanding the context, the importance of temporal information extraction researches is steadily growing. Although various attempts have been made to extract temporal information from researchers internationally, it is difficult to apply them to other languages because they are …...