727 research outputs found
Sort by
GER_SET: Situation Entity Type labelled corpus for German
No full textSemantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and detection of generic and generalizing sentences (Friedrich et al., 2016). We annotate several texts from different genres (newspaper, commentary, argumentative texts, and Wikipedia articles) with Situation Entity types. This data is in German.
References:
Maria Becker, Alexis Palmer, and Anette Frank (2016). Argumentative texts and Clause Types. Proceedings of the 3rd Workshop on Argument Mining (ACL-Workshop), pp. 21-30.
Annemarie Friedrich, Alexis Palmer, and Manfred Pinkal (2016). Situation entity types: automatic classification of clause-level aspect. In Proceedings of ACL 2016.
Alexis Palmer and Annemarie Friedrich (2014). Genre distinctions and discourse modes: Text types differ in their situation type distributions. Proceedings of the Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing. Forlì-Cesena, Italy.
Carlota S. Smith (2003). Modes of discourse: The local structure of texts, volume 103. Cambridge University Press.</p
Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]
No full textThis data set accompanies the manuscript ‘Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional
Neural Network’. Concentration fields are stored as portable pixel maps (.ppm) and flow fields are stored in the
Middlebury .flo file format (http://vision.middlebury.edu/flow/code/flow-code/README.txt).<br
Source Code, Data and Additional Material for the Thesis: "Aspects of Coherence for Entity Analysis"
No full textThis dataset contains source code and system output used in the PhD thesis "Aspects of Coherence for Entity Analysis".
This dataset is split into three parts corresponding to the chapters describing the three main contributions of the thesis:
chapter3.tar.gz: Java source code for the entity linking system based on interleaved multitasking, system results, system output. Java and Python source code for automatic verification of entity linking results. Java source code for the Visual Entity Explorer.
chapter4.tar.gz: Java and Scala source code for extracting pairs of terms and their dependency context from GigaWord and Wikilinks.
chapter5.tar.gz: Python code used to run entity typing experiments.
</ul
DeModify
No full textdeModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its impact on the information in the story, assessed through its deletion from the context: crucial, not-crucial, ungrammatical. Based on these annotations we have created two gold standards: strict (includes instances on which all annotators agree) and relaxed (majority voting). The archive contains a file that proposes a split into 5 folds for the instances that belong to either of the gold standards
Climate policy commitment devices [Dataset]
No full textWe develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interventions that provide a costly commitment device or reduce climate threshold uncertainty reduce resource extraction. We also study two conditions to assess the underlying social preferences and the viability of ecological dictatorship. Our results suggest that climate change policies that focus on investments that lock the economy into carbon-free energy sources provide an important commitment device in the intertemporal cooperation problem
BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)
No full textBPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).
In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages better
than alternative subword approaches, while requiring vastly fewer resources and no tokenization
Point Beauty Contest: Measuring the Distribution of Focal Points on the Individual Level [Dataset]
No full textWe propose the Point Beauty Contest, a mechanism to identify the distribution of focal points on the individual level. By contrast to conventional coordination, subjects coordinate by the distribution of points. This allows for nuanced coordination strategies, as subjects can invest in multiple alternatives at the same time and weigh their choice. A subject´s strategy choice then reveals her perception of the distribution of focal points. In an experiment on the elicitation of social norms, we compare the mechanism with conventional coordination. The data confirms the theoretical predictions regarding coordination behavior and demonstrates that the proposed technique is suited to identify the distribution of focal points on the individual level. Using Monte Carlo simulations, we find that the proposed mechanism identifies focal points on the population level more efficiently than conventional coordination. We point to the possibility of using the mechanism as a simple method to directly measure strategic uncertainty
Bekvaem: Integrative Data Exploration of Genomic Data
No full textUsing modern open-source libraries for web-based visualizations and data-processing, Bekvaem, a generic framework for the creation of data exploration software is introduced. Providing a high-level interface to fast low-level routines and employing open formats for the data storage, Bekvaem remains easily adjustable and independent from prior data processing pipelines
Hedging, ambiguity, and the reversal of order axiom [Dataset]
No full textWe ran experiments that gave subjects a straight-forward and simple opportunity to
hedge away ambiguity in an Ellsberg-style experiment. Subjects had to make bets on the combined outcomes of a fair coin and a draw from an ambiguous urn. By modifying the timing of the draw, coin flip, and decision, we are able to test the reversal-of-order axiom. Our main result is that the reversal-of-order axiom seems to hold. We also confirm low levels of ambiguity hedging despite the relative obviousness of the opportunity
Opinion role extractor
No full textSystem for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Tex