Аннотации
Related Papers
OntoNotes: Corpus Cleanup of Mistaken Agreement Using Word Sense Disambiguation
Annotated corpora are only useful if their annotations are consistent. Most large-scale annotation efforts take special measures to reconcile inter-annotator disagreement. To date, however, no-one has investigated how to automatically …...
Semi-Supervised Semantic Role Labeling
Large scale annotated corpora are pre- requisite to developing high-performance semantic role labeling systems. Unfor- tunately, such corpora are expensive to produce, limited in size, and may not be representative. …...
The DAD Parallel Corpora and their Uses
AbstractThis paper deals with the uses of the annotations of third person singular neuter pronouns in the DAD parallel and comparable corpora of Danish and Italian texts and spoken data. …...
Building a Diverse Document Leads Corpus Annotated with Semantic Relations
In these days, semantic analysis has been ac- tively studied in natural language processing. For the study of semantic analysis, corpora with semantic annotations are essential. Al- though there are …...
Annotating Question Decomposition on Complex Medical Questions
AbstractThis paper presents a method for annotating question decomposition on complex medical questions. The annotations cover multiple syntactic ways that questions can be decomposed, including separating independent clauses as well …...
Focusing Annotation for Semantic Role Labeling
AbstractAnnotation of data is a time-consuming process, but necessary for many state-of-the-art solutions to NLP tasks, including semantic role labeling (SRL). In this paper, we show that language models may …...
PACE Corpus: a multilingual corpus of Polarity-annotated textual data from the domains Automotive and CEllphone
AbstractIn this paper, we describe a publicly available multilingual evaluation corpus for phrase-level Sentiment Analysis that can be used to evaluate real world applications in an industrial context. This corpus …...
The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech
AbstractCurrently available speech recognisers do not usually work well with elderly speech. This is because several characteristics of speech (e.g. fundamental frequency, jitter, shimmer and harmonic noise ratio) change with …...
The Ellogon Pattern Engine: Context-free Grammars over Annotations
AbstractThis paper presents the pattern engine that is offered by the Ellogon language engineering platform. This pattern engine allows the application of context-free grammars over annotations, which are metadata generated …...
Twente Debate Corpus — A Multimodal Corpus for Head Movement Analysis
AbstractThis paper introduces a multimodal discussion corpus for the study into head movement and turn-taking patterns in debates. Given that participants either acted alone or in a pair, cooperation and …...
A Large Wordnet-based Sentiment Lexicon for Polish
The applications of plWordNet, a very large wordnet for Polish, do not yet in- clude work on sentiment and emotions. We present a pilot project to annotate plWordNet manually with …...
Why Predicting Post-Edition is so Hard? Failure Analysis of LIMSI Submission to the APE Shared Task
This paper describes the two systems sub- mitted by LIMSI to the WMT’15 Shared Task on Automatic Post-Editing. The first one relies on a reformulation of the APE task as …...
A Longitudinal Bilingual Frisian-Dutch Radio Broadcast Database Designed for Code-Switching Research
AbstractWe present a new speech database containing 18.5 hours of annotated radio broadcasts in the Frisian language. Frisian is mostly spoken in the province Fryslan and it is the second …...
How to Address Smart Homes with a Social Robot? A Multi-modal Corpus of User Interactions with an Intelligent Environment
AbstractIn order to explore intuitive verbal and non-verbal interfaces in smart environments we recorded user interactions with an intelligent apartment. Besides offering various interactive capabilities itself, the apartment is also …...
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia
This paper presents a crowdsourcing approach for annotating causal relation instances to Wikipedia. Because an annotation task can- not be decomposed into multiple-choice prob- lems, we integrate a crowdsourcing service …...
A Web-based System for Crowd-in-the-Loop Dependency Treebanking
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 …...
Crowdsourced Corpus of Sentence Simplification with Core Vocabulary
We present a new Japanese crowdsourced data set of simplified sentences created from more complex ones. Our simplicity standard involves all rewritable words in the simplified sentences being drawn from …...
Deep JSLC: A Multimodal Corpus Collection for Data-driven Generation of Japanese Sign Language Expressions
The three-dimensional visualization of spoken or written information in Sign Language (SL) is considered a potential tool for better inclusion of deaf or hard of hearing individuals with low literacy …...
A Corpus Linguistic Perspective on Contemporary German Pop Lyrics with the Multi-Layer Annotated “Songkorpus”
AbstractSong lyrics can be considered as a text genre that has features of both written and spoken discourse, and potentially provides extensive linguistic and cultural information to scientists from various …...
Beyond Possession Existence: Duration and Co-Possession
AbstractThis paper introduces two tasks: determining (a) the duration of possession relations and (b) co-possessions, i.e., whether multiple possessors possess a possessee at the same time. We present new annotations …...
Creating a Dataset for Named Entity Recognition in the Archaeology Domain
AbstractIn this paper, we present the development of a training dataset for Dutch Named Entity Recognition (NER) in the archaeology domain. This dataset was created as there is a dire …...
Issues and Perspectives from 10,000 Annotated Financial Social Media Data
AbstractIn this paper, we investigate the annotation of financial social media data from several angles. We present Fin-SoMe, a dataset with 10,000 labeled financial tweets annotated by experts from both …...
A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus
AbstractOver the past decade, researchers have started to explore the use of NLP to develop tools aimed at helping the public, vendors, and regulators analyze disclosures made in privacy policies. …...
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online
AbstractEven though hate speech (HS) online has been an important object of research in the last decade, most HS-related corpora over-simplify the phenomenon of hate by attempting to label user …...
Toward More Meaningful Resources for Lower-resourced Languages
AbstractIn this position paper, we describe our perspective on how meaningful resources for lower-resourced languages should be developed in connection with the speakers of those languages. Before advancing that position, …...
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest
AbstractLarge neural networks can now generate jokes, but do they really “understand” humor? We challenge AI models with three tasks derived from the New Yorker Cartoon Caption Contest: matching a …...
NLPositionality: Characterizing Design Biases of Datasets and Models
AbstractDesign biases in NLP systems, such as performance differences for different populations, often stem from their creator’s positionality, i.e., views and lived experiences shaped by identity and background. Despite the …...