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allenai/pnp 68

Probabilistic Neural Programming

allenai/allennlp-semparse 56

A framework for building semantic parsers (including neural module networks) with AllenNLP, built by the authors of AllenNLP

allenai/quoref-leaderboard-example 5

Submission of XLNet baseline to the Quoref leaderboard

BMKEG/bigMechKefedJavaWorkbook 1

Simple Java applications that provide high-level processing based on KEfED for DARPA's Big Mechanism program.

edvisees/exp-parser 1

Code for extracting various kinds of frames from experimental descriptions

pdasigi/deep_qa 1

Using deep learning to answer Aristo's science questions

allenai/codenames 0

Hackathon 2018 project

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Merge pull request #10 from pdasigi/config_edit_and_model Added validation metric in config and checked in trained model

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Added validation metric in config and checked in trained model

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introduced metrics (#126) * introduced NLA metrics * show output type in metric source * single back ticks

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Data description (#124) * added description of the data * finished data description * mention script and data * Update chapters/part3/semantic-parsing-seq2seq.md Co-authored-by: Matt Gardner <mattg@allenai.org> * Update chapters/part3/semantic-parsing-seq2seq.md Co-authored-by: Matt Gardner <mattg@allenai.org> Co-authored-by: Matt Gardner <mattg@allenai.org>

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Update nla_semparse/requirements.txt Co-authored-by: Matt Gardner <mattg@allenai.org>

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Merge pull request #9 from pdasigi/nla-semparse checking in nla semparse code and data

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Pull request review commentallenai/allennlp-guide-examples

checking in nla semparse code and data

+from typing import Dict, List, Optional+from overrides import overrides+from allennlp.training.metrics.metric import Metric+++@Metric.register('nla_metric')+class NlaMetric(Metric):+    """+    Metric for evaluating prefix arithmetic sequences against targets, useful for Natural Language Arithmetic+    parsing. This metric evaluates predicted sequences on three things: 1) whether the predicted metric is a+    well-formed prefix arithmetic expression, 2) whether the predicted sequence and the target seqquence evaluate+    to the same value, 3) whether the predicted sequence and the target sequence are identical.+    """+    def __init__(self):+        self._operator_logic = {"+": lambda x, y: x + y,

Yes, the data generation script needs to be changed as well.

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Code and material for the AllenNLP Guide

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Example code, data, and commands for the AllenNLP course

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nla metric, tests and python module

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working seq2seq config and updated requirements

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Merge pull request #14 from pdasigi/quoref Added the subset of original data for quoref that was used for perturbations

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Added the subset of original data for quoref that was used for perturbations

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train dev test splits

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Code for generating data, and for training AllenNLP models for natural language arithmetic, a toy semantic parsing problem

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