Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".

Overview

crfsrl

image

Yu Zhang, Qingrong Xia, Shilin Zhou, Yong Jiang, Zhenghua Li, Guohong Fu, Min Zhang. Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments. 2021. [arxiv]

Setup

The following packages should be installed:

Run the following scripts to obtain the training data. Please make sure PTB and OntoNotes are available:

bash scripts/conll05.sh PTB=<path-to-ptb>             SRL=data
bash scripts/conll12.sh ONTONOTES=<path-to-ontonotes> SRL=data

Run

Try the following commands to train first-order CRF and second-order CRF2o models:

# LSTM
# CRF
python -u crf.py   train -b -c configs/conll05.crf.srl.lstm.char-lemma.ini   -d 0 -f char lemma -p exp/conll05.crf.srl.lstm.char-lemma/model
# CRF2o
python -u crf2o.py train -b -c configs/conll05.crf2o.srl.lstm.char-lemma.ini -d 0 -f char lemma -p exp/conll05.crf2o.srl.lstm.char-lemma/model
# BERT finetuning
# CRF
python -u crf.py   train -b -c configs/conll05.crf.srl.bert.ini   -d 0 -p exp/conll05.crf.srl.bert/model   --batch-size=1000 --encoder bert --bert bert-large-cased 
# CRF2o
python -u crf2o.py train -b -c configs/conll05.crf2o.srl.bert.ini -d 0 -p exp/conll05.crf2o.srl.bert/model --batch-size=1000 --encoder bert --bert bert-large-cased

To do evaluation:

# end-to-end
python -u crf.py   evaluate -c configs/conll05.crf.srl.bert.ini  -d 0 -p exp/conll05.crf.srl.bert/model    --data data/conll05/test.conllu
# w/ gold predicates
python -u crf.py   evaluate -c configs/conll05.crf.srl.bert.ini  -d 0 -p exp/conll05.crf.srl.bert/model    --data data/conll05/test.conllu --prd

To make predictions:

python -u crf.py   predict  -c configs/conll05.crf.srl.bert.ini   -d 0 -p exp/conll05.crf.srl.bert/model   --data data/conll05/test.conllu --pred pred.conllu
bash scripts/eval.sh pred=pred.conllu gold=data/conll05/test.conllu

Contact

If you have any questions, feel free to contact me via emails.

Owner
Yu Zhang
PhD student @SUDA-LA; NLP/CL/ML.
Yu Zhang
This project consists of data analysis and data visualization (done using python)of all IPL seasons from 2008 to 2019 and answering the most asked questions about the IPL.

IPL-data-analysis This project consists of data analysis and data visualization of all IPL seasons from 2008 to 2019 and answering the most asked ques

Sivateja A T 2 Feb 08, 2022
Anomaly Detection 이상치 탐지 전처리 모듈

Anomaly Detection 시계열 데이터에 대한 이상치 탐지 1. Kernel Density Estimation을 활용한 이상치 탐지 train_data_path와 test_data_path에 존재하는 시점 정보를 포함하고 있는 csv 형태의 train data와

CLUST-consortium 43 Nov 28, 2022
华为商城抢购手机的Python脚本 Python script of Huawei Store snapping up mobile phones

HUAWEI STORE GO 2021 说明 基于Python3+Selenium的华为商城抢购爬虫脚本,修改自近两年没更新的项目BUY-HW,为女神抢Nova 8(什么时候华为开始学小米玩饥饿营销了?) 原项目的登陆以及抢购部分已经不可用,本项目对原项目进行了改正以适应新华为商城,并增加一些功能

ZhangLiang 111 Dec 22, 2022
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode

Alibaba 1.4k Jan 04, 2023
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering

Disfl-QA is a targeted dataset for contextual disfluencies in an information seeking setting, namely question answering over Wikipedia passages. Disfl-QA builds upon the SQuAD-v2 (Rajpurkar et al., 2

Google Research Datasets 52 Jun 21, 2022
Code for PED: DETR For (Crowd) Pedestrian Detection

Code for PED: DETR For (Crowd) Pedestrian Detection

36 Sep 13, 2022
skweak: A software toolkit for weak supervision applied to NLP tasks

Labelled data remains a scarce resource in many practical NLP scenarios. This is especially the case when working with resource-poor languages (or text domains), or when using task-specific labels wi

Norsk Regnesentral (Norwegian Computing Center) 850 Dec 28, 2022
Collection of scripts to pinpoint obfuscated code

Obfuscation Detection (v1.0) Author: Tim Blazytko Automatically detect control-flow flattening and other state machines Description: Scripts and binar

Tim Blazytko 230 Nov 26, 2022
Exploration of BERT-based models on twitter sentiment classifications

twitter-sentiment-analysis Explore the relationship between twitter sentiment of Tesla and its stock price/return. Explore the effect of different BER

Sammy Cui 2 Oct 02, 2022
Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.

New State-of-the-Art in Preposition Sense Disambiguation Supervisor: Prof. Dr. Alexander Mehler Alexander Henlein Institutions: Goethe University TTLa

Dirk Neuhäuser 4 Apr 06, 2022
Official PyTorch implementation of SegFormer

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Figure 1: Performance of SegFormer-B0 to SegFormer-B5. Project page

NVIDIA Research Projects 1.4k Dec 29, 2022
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

420 Dec 28, 2022
Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings of ACL: ACL 2021)

BERT-for-Surprisal Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings

7 Dec 05, 2022
A python package for deep multilingual punctuation prediction.

This python library predicts the punctuation of English, Italian, French and German texts. We developed it to restore the punctuation of transcribed spoken language.

Oliver Guhr 27 Dec 22, 2022
Dé op-de-vlucht Pieton vertaler. Wereldwijd gebruikt door meer dan 1.000+ succesvolle bedrijven!

Dé op-de-vlucht Pieton vertaler. Wereldwijd gebruikt door meer dan 1.000+ succesvolle bedrijven!

Lau 1 Dec 17, 2021
This is Assignment1 code for the Web Data Processing System.

This is a Python program to Entity Linking by processing WARC files. We recognize entities from web pages and link them to a Knowledge Base(Wikidata).

3 Dec 04, 2022
Baseline code for Korean open domain question answering(ODQA)

Open-Domain Question Answering(ODQA)는 다양한 주제에 대한 문서 집합으로부터 자연어 질의에 대한 답변을 찾아오는 task입니다. 이때 사용자 질의에 답변하기 위해 주어지는 지문이 따로 존재하지 않습니다. 따라서 사전에 구축되어있는 Knowl

VUMBLEB 69 Nov 04, 2022
SimCTG - A Contrastive Framework for Neural Text Generation

A Contrastive Framework for Neural Text Generation Authors: Yixuan Su, Tian Lan,

Yixuan Su 345 Jan 03, 2023
GPT-3: Language Models are Few-Shot Learners

GPT-3: Language Models are Few-Shot Learners arXiv link Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-trainin

OpenAI 12.5k Jan 05, 2023
Python wrapper for Stanford CoreNLP tools v3.4.1

Python interface to Stanford Core NLP tools v3.4.1 This is a Python wrapper for Stanford University's NLP group's Java-based CoreNLP tools. It can eit

Dustin Smith 610 Sep 07, 2022